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llvm-mirror/lib/Target/X86/X86TargetTransformInfo.cpp

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Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
//===-- X86TargetTransformInfo.cpp - X86 specific TTI pass ----------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
/// \file
/// This file implements a TargetTransformInfo analysis pass specific to the
/// X86 target machine. It uses the target's detailed information to provide
/// more precise answers to certain TTI queries, while letting the target
/// independent and default TTI implementations handle the rest.
///
//===----------------------------------------------------------------------===//
#include "X86.h"
#include "X86TargetMachine.h"
Implement X86TTI::getUnrollingPreferences This provides an initial implementation of getUnrollingPreferences for x86. getUnrollingPreferences is used by the generic (concatenation) unroller, which is distinct from the unrolling done by the loop vectorizer. Many modern x86 cores have some kind of uop cache and loop-stream detector (LSD) used to efficiently dispatch small loops, and taking full advantage of this requires unrolling small loops (small here means 10s of uops). These caches also have limits on the number of taken branches in the loop, and so we also cap the loop unrolling factor based on the maximum "depth" of the loop. This is currently calculated with a partial DFS traversal (partial because it will stop early if the path length grows too much). This is still an approximation, and one that is both conservative (because it does not account for branches eliminated via block placement) and optimistic (because it is only recording the maximum depth over minimum paths). Nevertheless, because the loops that fit in these uop caches are so small, it is not clear how much the details matter. The original set of patches posted for review produced the following test-suite performance results (from the TSVC benchmark) at that time: ControlLoops-dbl - 13% speedup ControlLoops-flt - 15% speedup Reductions-dbl - 7.5% speedup llvm-svn: 205348
2014-04-01 20:50:34 +02:00
#include "llvm/ADT/DepthFirstIterator.h"
#include "llvm/Analysis/LoopInfo.h"
Move TargetTransformInfo to live under the Analysis library. This no longer would violate any dependency layering and it is in fact an analysis. =] llvm-svn: 171686
2013-01-07 04:08:10 +01:00
#include "llvm/Analysis/TargetTransformInfo.h"
Revert "Revert "Add Constant Hoisting Pass" (r200034)" This reverts commit r200058 and adds the using directive for ARMTargetTransformInfo to silence two g++ overload warnings. llvm-svn: 200062
2014-01-25 03:02:55 +01:00
#include "llvm/IR/IntrinsicInst.h"
Implement X86TTI::getUnrollingPreferences This provides an initial implementation of getUnrollingPreferences for x86. getUnrollingPreferences is used by the generic (concatenation) unroller, which is distinct from the unrolling done by the loop vectorizer. Many modern x86 cores have some kind of uop cache and loop-stream detector (LSD) used to efficiently dispatch small loops, and taking full advantage of this requires unrolling small loops (small here means 10s of uops). These caches also have limits on the number of taken branches in the loop, and so we also cap the loop unrolling factor based on the maximum "depth" of the loop. This is currently calculated with a partial DFS traversal (partial because it will stop early if the path length grows too much). This is still an approximation, and one that is both conservative (because it does not account for branches eliminated via block placement) and optimistic (because it is only recording the maximum depth over minimum paths). Nevertheless, because the loops that fit in these uop caches are so small, it is not clear how much the details matter. The original set of patches posted for review produced the following test-suite performance results (from the TSVC benchmark) at that time: ControlLoops-dbl - 13% speedup ControlLoops-flt - 15% speedup Reductions-dbl - 7.5% speedup llvm-svn: 205348
2014-04-01 20:50:34 +02:00
#include "llvm/Support/CommandLine.h"
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
#include "llvm/Support/Debug.h"
Moving Cost Tables up to share with other targets llvm-svn: 173382
2013-01-25 00:01:00 +01:00
#include "llvm/Target/CostTable.h"
Re-sort all of the includes with ./utils/sort_includes.py so that subsequent changes are easier to review. About to fix some layering issues, and wanted to separate out the necessary churn. Also comment and sink the include of "Windows.h" in three .inc files to match the usage in Memory.inc. llvm-svn: 198685
2014-01-07 12:48:04 +01:00
#include "llvm/Target/TargetLowering.h"
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
using namespace llvm;
[Modules] Fix potential ODR violations by sinking the DEBUG_TYPE definition below all of the header #include lines, lib/Target/... edition. llvm-svn: 206842
2014-04-22 04:41:26 +02:00
#define DEBUG_TYPE "x86tti"
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
// Declare the pass initialization routine locally as target-specific passes
// don't havve a target-wide initialization entry point, and so we rely on the
// pass constructor initialization.
namespace llvm {
void initializeX86TTIPass(PassRegistry &);
}
Implement X86TTI::getUnrollingPreferences This provides an initial implementation of getUnrollingPreferences for x86. getUnrollingPreferences is used by the generic (concatenation) unroller, which is distinct from the unrolling done by the loop vectorizer. Many modern x86 cores have some kind of uop cache and loop-stream detector (LSD) used to efficiently dispatch small loops, and taking full advantage of this requires unrolling small loops (small here means 10s of uops). These caches also have limits on the number of taken branches in the loop, and so we also cap the loop unrolling factor based on the maximum "depth" of the loop. This is currently calculated with a partial DFS traversal (partial because it will stop early if the path length grows too much). This is still an approximation, and one that is both conservative (because it does not account for branches eliminated via block placement) and optimistic (because it is only recording the maximum depth over minimum paths). Nevertheless, because the loops that fit in these uop caches are so small, it is not clear how much the details matter. The original set of patches posted for review produced the following test-suite performance results (from the TSVC benchmark) at that time: ControlLoops-dbl - 13% speedup ControlLoops-flt - 15% speedup Reductions-dbl - 7.5% speedup llvm-svn: 205348
2014-04-01 20:50:34 +02:00
static cl::opt<bool>
UsePartialUnrolling("x86-use-partial-unrolling", cl::init(true),
cl::desc("Use partial unrolling for some X86 targets"), cl::Hidden);
static cl::opt<unsigned>
PartialUnrollingThreshold("x86-partial-unrolling-threshold", cl::init(0),
cl::desc("Threshold for X86 partial unrolling"), cl::Hidden);
static cl::opt<unsigned>
PartialUnrollingMaxBranches("x86-partial-max-branches", cl::init(2),
cl::desc("Threshold for taken branches in X86 partial unrolling"),
cl::Hidden);
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
namespace {
Switch all uses of LLVM_FINAL to just use 'final', and remove the macro. llvm-svn: 202618
2014-03-02 09:08:51 +01:00
class X86TTI final : public ImmutablePass, public TargetTransformInfo {
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
const X86Subtarget *ST;
const X86TargetLowering *TLI;
/// Estimate the overhead of scalarizing an instruction. Insert and Extract
/// are set if the result needs to be inserted and/or extracted from vectors.
unsigned getScalarizationOverhead(Type *Ty, bool Insert, bool Extract) const;
public:
[C++] Use 'nullptr'. Target edition. llvm-svn: 207197
2014-04-25 07:30:21 +02:00
X86TTI() : ImmutablePass(ID), ST(nullptr), TLI(nullptr) {
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
llvm_unreachable("This pass cannot be directly constructed");
}
X86TTI(const X86TargetMachine *TM)
Add final and owerride keywords to TargetTransformInfo's subclasses. llvm-svn: 200021
2014-01-24 19:22:59 +01:00
: ImmutablePass(ID), ST(TM->getSubtargetImpl()),
TLI(TM->getTargetLowering()) {
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
initializeX86TTIPass(*PassRegistry::getPassRegistry());
}
[C++11] Remove 'virtual' keyword from methods marked with 'override' keyword. llvm-svn: 203444
2014-03-10 06:29:18 +01:00
void initializePass() override {
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
pushTTIStack(this);
}
[C++11] Remove 'virtual' keyword from methods marked with 'override' keyword. llvm-svn: 203444
2014-03-10 06:29:18 +01:00
void getAnalysisUsage(AnalysisUsage &AU) const override {
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
TargetTransformInfo::getAnalysisUsage(AU);
}
/// Pass identification.
static char ID;
/// Provide necessary pointer adjustments for the two base classes.
[C++11] Remove 'virtual' keyword from methods marked with 'override' keyword. llvm-svn: 203444
2014-03-10 06:29:18 +01:00
void *getAdjustedAnalysisPointer(const void *ID) override {
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
if (ID == &TargetTransformInfo::ID)
return (TargetTransformInfo*)this;
return this;
}
/// \name Scalar TTI Implementations
/// @{
[C++11] Remove 'virtual' keyword from methods marked with 'override' keyword. llvm-svn: 203444
2014-03-10 06:29:18 +01:00
PopcntSupportKind getPopcntSupport(unsigned TyWidth) const override;
Implement X86TTI::getUnrollingPreferences This provides an initial implementation of getUnrollingPreferences for x86. getUnrollingPreferences is used by the generic (concatenation) unroller, which is distinct from the unrolling done by the loop vectorizer. Many modern x86 cores have some kind of uop cache and loop-stream detector (LSD) used to efficiently dispatch small loops, and taking full advantage of this requires unrolling small loops (small here means 10s of uops). These caches also have limits on the number of taken branches in the loop, and so we also cap the loop unrolling factor based on the maximum "depth" of the loop. This is currently calculated with a partial DFS traversal (partial because it will stop early if the path length grows too much). This is still an approximation, and one that is both conservative (because it does not account for branches eliminated via block placement) and optimistic (because it is only recording the maximum depth over minimum paths). Nevertheless, because the loops that fit in these uop caches are so small, it is not clear how much the details matter. The original set of patches posted for review produced the following test-suite performance results (from the TSVC benchmark) at that time: ControlLoops-dbl - 13% speedup ControlLoops-flt - 15% speedup Reductions-dbl - 7.5% speedup llvm-svn: 205348
2014-04-01 20:50:34 +02:00
void getUnrollingPreferences(Loop *L,
UnrollingPreferences &UP) const override;
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
/// @}
/// \name Vector TTI Implementations
/// @{
[C++11] Remove 'virtual' keyword from methods marked with 'override' keyword. llvm-svn: 203444
2014-03-10 06:29:18 +01:00
unsigned getNumberOfRegisters(bool Vector) const override;
unsigned getRegisterBitWidth(bool Vector) const override;
unsigned getMaximumUnrollFactor() const override;
unsigned getArithmeticInstrCost(unsigned Opcode, Type *Ty, OperandValueKind,
OperandValueKind) const override;
unsigned getShuffleCost(ShuffleKind Kind, Type *Tp,
int Index, Type *SubTp) const override;
unsigned getCastInstrCost(unsigned Opcode, Type *Dst,
Type *Src) const override;
unsigned getCmpSelInstrCost(unsigned Opcode, Type *ValTy,
Type *CondTy) const override;
unsigned getVectorInstrCost(unsigned Opcode, Type *Val,
unsigned Index) const override;
unsigned getMemoryOpCost(unsigned Opcode, Type *Src, unsigned Alignment,
unsigned AddressSpace) const override;
unsigned getAddressComputationCost(Type *PtrTy,
bool IsComplex) const override;
unsigned getReductionCost(unsigned Opcode, Type *Ty,
bool IsPairwiseForm) const override;
unsigned getIntImmCost(const APInt &Imm, Type *Ty) const override;
[Constant Hoisting] Make the constant materialization cost operand dependent Extend the target hook to take also the operand index into account when calculating the cost of the constant materialization. Related to <rdar://problem/16381500> llvm-svn: 204435
2014-03-21 07:04:45 +01:00
unsigned getIntImmCost(unsigned Opcode, unsigned Idx, const APInt &Imm,
[C++11] Remove 'virtual' keyword from methods marked with 'override' keyword. llvm-svn: 203444
2014-03-10 06:29:18 +01:00
Type *Ty) const override;
[Constant Hoisting] Make the constant materialization cost operand dependent Extend the target hook to take also the operand index into account when calculating the cost of the constant materialization. Related to <rdar://problem/16381500> llvm-svn: 204435
2014-03-21 07:04:45 +01:00
unsigned getIntImmCost(Intrinsic::ID IID, unsigned Idx, const APInt &Imm,
[C++11] Remove 'virtual' keyword from methods marked with 'override' keyword. llvm-svn: 203444
2014-03-10 06:29:18 +01:00
Type *Ty) const override;
Revert "Revert "Add Constant Hoisting Pass" (r200034)" This reverts commit r200058 and adds the using directive for ARMTargetTransformInfo to silence two g++ overload warnings. llvm-svn: 200062
2014-01-25 03:02:55 +01:00
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
/// @}
};
} // end anonymous namespace
INITIALIZE_AG_PASS(X86TTI, TargetTransformInfo, "x86tti",
"X86 Target Transform Info", true, true, false)
char X86TTI::ID = 0;
ImmutablePass *
llvm::createX86TargetTransformInfoPass(const X86TargetMachine *TM) {
return new X86TTI(TM);
}
//===----------------------------------------------------------------------===//
//
// X86 cost model.
//
//===----------------------------------------------------------------------===//
Make the popcnt support enums and methods have more clear names and follow the conding conventions regarding enumerating a set of "kinds" of things. llvm-svn: 171687
2013-01-07 04:16:03 +01:00
X86TTI::PopcntSupportKind X86TTI::getPopcntSupport(unsigned TyWidth) const {
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
assert(isPowerOf2_32(TyWidth) && "Ty width must be power of 2");
// TODO: Currently the __builtin_popcount() implementation using SSE3
// instructions is inefficient. Once the problem is fixed, we should
Using popcount should check the popcount feature flag not the SSE41 feature flag. llvm-svn: 190258
2013-09-08 02:47:31 +02:00
// call ST->hasSSE3() instead of ST->hasPOPCNT().
return ST->hasPOPCNT() ? PSK_FastHardware : PSK_Software;
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
}
Implement X86TTI::getUnrollingPreferences This provides an initial implementation of getUnrollingPreferences for x86. getUnrollingPreferences is used by the generic (concatenation) unroller, which is distinct from the unrolling done by the loop vectorizer. Many modern x86 cores have some kind of uop cache and loop-stream detector (LSD) used to efficiently dispatch small loops, and taking full advantage of this requires unrolling small loops (small here means 10s of uops). These caches also have limits on the number of taken branches in the loop, and so we also cap the loop unrolling factor based on the maximum "depth" of the loop. This is currently calculated with a partial DFS traversal (partial because it will stop early if the path length grows too much). This is still an approximation, and one that is both conservative (because it does not account for branches eliminated via block placement) and optimistic (because it is only recording the maximum depth over minimum paths). Nevertheless, because the loops that fit in these uop caches are so small, it is not clear how much the details matter. The original set of patches posted for review produced the following test-suite performance results (from the TSVC benchmark) at that time: ControlLoops-dbl - 13% speedup ControlLoops-flt - 15% speedup Reductions-dbl - 7.5% speedup llvm-svn: 205348
2014-04-01 20:50:34 +02:00
void X86TTI::getUnrollingPreferences(Loop *L, UnrollingPreferences &UP) const {
if (!UsePartialUnrolling)
return;
// According to the Intel 64 and IA-32 Architectures Optimization Reference
// Manual, Intel Core models and later have a loop stream detector
// (and associated uop queue) that can benefit from partial unrolling.
// The relevant requirements are:
// - The loop must have no more than 4 (8 for Nehalem and later) branches
// taken, and none of them may be calls.
// - The loop can have no more than 18 (28 for Nehalem and later) uops.
// According to the Software Optimization Guide for AMD Family 15h Processors,
// models 30h-4fh (Steamroller and later) have a loop predictor and loop
// buffer which can benefit from partial unrolling.
// The relevant requirements are:
// - The loop must have fewer than 16 branches
// - The loop must have less than 40 uops in all executed loop branches
unsigned MaxBranches, MaxOps;
if (PartialUnrollingThreshold.getNumOccurrences() > 0) {
MaxBranches = PartialUnrollingMaxBranches;
MaxOps = PartialUnrollingThreshold;
} else if (ST->isAtom()) {
// On the Atom, the throughput for taken branches is 2 cycles. For small
// simple loops, expand by a small factor to hide the backedge cost.
MaxBranches = 2;
MaxOps = 10;
} else if (ST->hasFSGSBase() && ST->hasXOP() /* Steamroller and later */) {
MaxBranches = 16;
MaxOps = 40;
} else if (ST->hasFMA4() /* Any other recent AMD */) {
return;
} else if (ST->hasAVX() || ST->hasSSE42() /* Nehalem and later */) {
MaxBranches = 8;
MaxOps = 28;
} else if (ST->hasSSSE3() /* Intel Core */) {
MaxBranches = 4;
MaxOps = 18;
} else {
return;
}
// Scan the loop: don't unroll loops with calls, and count the potential
// number of taken branches (this is somewhat conservative because we're
// counting all block transitions as potential branches while in reality some
// of these will become implicit via block placement).
unsigned MaxDepth = 0;
for (df_iterator<BasicBlock*> DI = df_begin(L->getHeader()),
DE = df_end(L->getHeader()); DI != DE;) {
if (!L->contains(*DI)) {
DI.skipChildren();
continue;
}
MaxDepth = std::max(MaxDepth, DI.getPathLength());
if (MaxDepth > MaxBranches)
return;
for (BasicBlock::iterator I = DI->begin(), IE = DI->end(); I != IE; ++I)
if (isa<CallInst>(I) || isa<InvokeInst>(I)) {
ImmutableCallSite CS(I);
if (const Function *F = CS.getCalledFunction()) {
if (!isLoweredToCall(F))
continue;
}
return;
}
++DI;
}
// Enable runtime and partial unrolling up to the specified size.
UP.Partial = UP.Runtime = true;
UP.PartialThreshold = UP.PartialOptSizeThreshold = MaxOps;
// Set the maximum count based on the loop depth. The maximum number of
// branches taken in a loop (including the backedge) is equal to the maximum
// loop depth (the DFS path length from the loop header to any block in the
// loop). When the loop is unrolled, this depth (except for the backedge
// itself) is multiplied by the unrolling factor. This new unrolled depth
// must be less than the target-specific maximum branch count (which limits
// the number of taken branches in the uop buffer).
if (MaxDepth > 1)
UP.MaxCount = (MaxBranches-1)/(MaxDepth-1);
}
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
unsigned X86TTI::getNumberOfRegisters(bool Vector) const {
ARM Cost model: Use the size of vector registers and widest vectorizable instruction to determine the max vectorization factor. llvm-svn: 172010
2013-01-09 23:29:00 +01:00
if (Vector && !ST->hasSSE1())
return 0;
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
if (ST->is64Bit())
return 16;
return 8;
}
ARM Cost model: Use the size of vector registers and widest vectorizable instruction to determine the max vectorization factor. llvm-svn: 172010
2013-01-09 23:29:00 +01:00
unsigned X86TTI::getRegisterBitWidth(bool Vector) const {
if (Vector) {
if (ST->hasAVX()) return 256;
if (ST->hasSSE1()) return 128;
return 0;
}
if (ST->is64Bit())
return 64;
return 32;
}
Cost Model: Move the 'max unroll factor' variable to the TTI and add initial Cost Model support on ARM. llvm-svn: 171928
2013-01-09 02:15:42 +01:00
unsigned X86TTI::getMaximumUnrollFactor() const {
if (ST->isAtom())
return 1;
// Sandybridge and Haswell have multiple execution ports and pipelined
// vector units.
if (ST->hasAVX())
return 4;
return 2;
}
CostModel: Add parameter to instruction cost to further classify operand values On certain architectures we can support efficient vectorized version of instructions if the operand value is uniform (splat) or a constant scalar. An example of this is a vector shift on x86. We can efficiently support for (i = 0 ; i < ; i += 4) w[0:3] = v[0:3] << <2, 2, 2, 2> but not for (i = 0; i < ; i += 4) w[0:3] = v[0:3] << x[0:3] This patch adds a parameter to getArithmeticInstrCost to further qualify operand values as uniform or uniform constant. Targets can then choose to return a different cost for instructions with such operand values. A follow-up commit will test this feature on x86. radar://13576547 llvm-svn: 178807
2013-04-05 01:26:21 +02:00
unsigned X86TTI::getArithmeticInstrCost(unsigned Opcode, Type *Ty,
OperandValueKind Op1Info,
OperandValueKind Op2Info) const {
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
// Legalize the type.
std::pair<unsigned, MVT> LT = TLI->getTypeLegalizationCost(Ty);
int ISD = TLI->InstructionOpcodeToISD(Opcode);
assert(ISD && "Invalid opcode");
X86TTI: i16/i32 vector div with a constant (splat) divisor are reasonably cheap now. Turn vectorization back on. llvm-svn: 207320
2014-04-26 16:53:05 +02:00
static const CostTblEntry<MVT::SimpleValueType>
AVX2UniformConstCostTable[] = {
{ ISD::SDIV, MVT::v16i16, 6 }, // vpmulhw sequence
{ ISD::UDIV, MVT::v16i16, 6 }, // vpmulhuw sequence
{ ISD::SDIV, MVT::v8i32, 15 }, // vpmuldq sequence
{ ISD::UDIV, MVT::v8i32, 15 }, // vpmuludq sequence
};
if (Op2Info == TargetTransformInfo::OK_UniformConstantValue &&
ST->hasAVX2()) {
int Idx = CostTableLookup(AVX2UniformConstCostTable, ISD, LT.second);
if (Idx != -1)
return LT.first * AVX2UniformConstCostTable[Idx].Cost;
}
Add a overload to CostTable which allows it to infer the size of the table. Use it to avoid repeating ourselves too often. Also store MVT::SimpleValueType in the TTI tables so they can be statically initialized, MVT's constructors create bloated initialization code otherwise. llvm-svn: 188095
2013-08-09 21:33:32 +02:00
static const CostTblEntry<MVT::SimpleValueType> AVX2CostTable[] = {
Correct cost model for vector shift on AVX2 - After moving logic recognizing vector shift with scalar amount from DAG combining into DAG lowering, we declare to customize all vector shifts even vector shift on AVX is legal. As a result, the cost model needs special tuning to identify these legal cases. llvm-svn: 177586
2013-03-20 23:01:10 +01:00
// Shifts on v4i64/v8i32 on AVX2 is legal even though we declare to
// customize them to detect the cases where shift amount is a scalar one.
{ ISD::SHL, MVT::v4i32, 1 },
{ ISD::SRL, MVT::v4i32, 1 },
{ ISD::SRA, MVT::v4i32, 1 },
{ ISD::SHL, MVT::v8i32, 1 },
{ ISD::SRL, MVT::v8i32, 1 },
{ ISD::SRA, MVT::v8i32, 1 },
{ ISD::SHL, MVT::v2i64, 1 },
{ ISD::SRL, MVT::v2i64, 1 },
{ ISD::SHL, MVT::v4i64, 1 },
{ ISD::SRL, MVT::v4i64, 1 },
X86 cost model: Vector shifts are expensive in most cases The default logic does not correctly identify costs of casts because they are marked as custom on x86. For some cases, where the shift amount is a scalar we would be able to generate better code. Unfortunately, when this is the case the value (the splat) will get hoisted out of the loop, thereby making it invisible to ISel. radar://13130673 radar://13537826 llvm-svn: 178703
2013-04-03 23:46:05 +02:00
{ ISD::SHL, MVT::v32i8, 42 }, // cmpeqb sequence.
{ ISD::SHL, MVT::v16i16, 16*10 }, // Scalarized.
{ ISD::SRL, MVT::v32i8, 32*10 }, // Scalarized.
{ ISD::SRL, MVT::v16i16, 8*10 }, // Scalarized.
{ ISD::SRA, MVT::v32i8, 32*10 }, // Scalarized.
{ ISD::SRA, MVT::v16i16, 16*10 }, // Scalarized.
{ ISD::SRA, MVT::v4i64, 4*10 }, // Scalarized.
X86 cost model: Vectorizing integer division is a bad idea radar://14057959 llvm-svn: 184872
2013-06-25 21:14:09 +02:00
// Vectorizing division is a bad idea. See the SSE2 table for more comments.
{ ISD::SDIV, MVT::v32i8, 32*20 },
{ ISD::SDIV, MVT::v16i16, 16*20 },
{ ISD::SDIV, MVT::v8i32, 8*20 },
{ ISD::SDIV, MVT::v4i64, 4*20 },
{ ISD::UDIV, MVT::v32i8, 32*20 },
{ ISD::UDIV, MVT::v16i16, 16*20 },
{ ISD::UDIV, MVT::v8i32, 8*20 },
{ ISD::UDIV, MVT::v4i64, 4*20 },
Correct cost model for vector shift on AVX2 - After moving logic recognizing vector shift with scalar amount from DAG combining into DAG lowering, we declare to customize all vector shifts even vector shift on AVX is legal. As a result, the cost model needs special tuning to identify these legal cases. llvm-svn: 177586
2013-03-20 23:01:10 +01:00
};
// Look for AVX2 lowering tricks.
if (ST->hasAVX2()) {
[Vectorizer] Add a new 'OperandValueKind' in TargetTransformInfo called 'OK_NonUniformConstValue' to identify operands which are constants but not constant splats. The cost model now allows returning 'OK_NonUniformConstValue' for non splat operands that are instances of ConstantVector or ConstantDataVector. With this change, targets are now able to compute different costs for instructions with non-uniform constant operands. For example, On X86 the cost of a vector shift may vary depending on whether the second operand is a uniform or non-uniform constant. This patch applies the following changes: - The cost model computation now takes into account non-uniform constants; - The cost of vector shift instructions has been improved in X86TargetTransformInfo analysis pass; - BBVectorize, SLPVectorizer and LoopVectorize now know how to distinguish between non-uniform and uniform constant operands. Added a new test to verify that the output of opt '-cost-model -analyze' is valid in the following configurations: SSE2, SSE4.1, AVX, AVX2. llvm-svn: 201272
2014-02-13 00:43:47 +01:00
if (ISD == ISD::SHL && LT.second == MVT::v16i16 &&
(Op2Info == TargetTransformInfo::OK_UniformConstantValue ||
Op2Info == TargetTransformInfo::OK_NonUniformConstantValue))
// On AVX2, a packed v16i16 shift left by a constant build_vector
// is lowered into a vector multiply (vpmullw).
return LT.first;
Add a overload to CostTable which allows it to infer the size of the table. Use it to avoid repeating ourselves too often. Also store MVT::SimpleValueType in the TTI tables so they can be statically initialized, MVT's constructors create bloated initialization code otherwise. llvm-svn: 188095
2013-08-09 21:33:32 +02:00
int Idx = CostTableLookup(AVX2CostTable, ISD, LT.second);
Correct cost model for vector shift on AVX2 - After moving logic recognizing vector shift with scalar amount from DAG combining into DAG lowering, we declare to customize all vector shifts even vector shift on AVX is legal. As a result, the cost model needs special tuning to identify these legal cases. llvm-svn: 177586
2013-03-20 23:01:10 +01:00
if (Idx != -1)
return LT.first * AVX2CostTable[Idx].Cost;
}
Add a overload to CostTable which allows it to infer the size of the table. Use it to avoid repeating ourselves too often. Also store MVT::SimpleValueType in the TTI tables so they can be statically initialized, MVT's constructors create bloated initialization code otherwise. llvm-svn: 188095
2013-08-09 21:33:32 +02:00
static const CostTblEntry<MVT::SimpleValueType>
SSE2UniformConstCostTable[] = {
X86 cost model: Differentiate cost for vector shifts of constants SSE2 has efficient support for shifts by a scalar. My previous change of making shifts expensive did not take this into account marking all shifts as expensive. This would prevent vectorization from happening where it is actually beneficial. With this change we differentiate between shifts of constants and other shifts. radar://13576547 llvm-svn: 178808
2013-04-05 01:26:24 +02:00
// We don't correctly identify costs of casts because they are marked as
// custom.
// Constant splats are cheaper for the following instructions.
{ ISD::SHL, MVT::v16i8, 1 }, // psllw.
{ ISD::SHL, MVT::v8i16, 1 }, // psllw.
{ ISD::SHL, MVT::v4i32, 1 }, // pslld
{ ISD::SHL, MVT::v2i64, 1 }, // psllq.
{ ISD::SRL, MVT::v16i8, 1 }, // psrlw.
{ ISD::SRL, MVT::v8i16, 1 }, // psrlw.
{ ISD::SRL, MVT::v4i32, 1 }, // psrld.
{ ISD::SRL, MVT::v2i64, 1 }, // psrlq.
{ ISD::SRA, MVT::v16i8, 4 }, // psrlw, pand, pxor, psubb.
{ ISD::SRA, MVT::v8i16, 1 }, // psraw.
{ ISD::SRA, MVT::v4i32, 1 }, // psrad.
X86TTI: i16/i32 vector div with a constant (splat) divisor are reasonably cheap now. Turn vectorization back on. llvm-svn: 207320
2014-04-26 16:53:05 +02:00
{ ISD::SDIV, MVT::v8i16, 6 }, // pmulhw sequence
{ ISD::UDIV, MVT::v8i16, 6 }, // pmulhuw sequence
X86TTI: Adjust sdiv cost now that we can lower it on plain SSE2. Includes a fix for a horrible typo that caused all SDIV costs to be slightly off :) llvm-svn: 207371
2014-04-27 20:47:54 +02:00
{ ISD::SDIV, MVT::v4i32, 19 }, // pmuludq sequence
X86TTI: i16/i32 vector div with a constant (splat) divisor are reasonably cheap now. Turn vectorization back on. llvm-svn: 207320
2014-04-26 16:53:05 +02:00
{ ISD::UDIV, MVT::v4i32, 15 }, // pmuludq sequence
X86 cost model: Differentiate cost for vector shifts of constants SSE2 has efficient support for shifts by a scalar. My previous change of making shifts expensive did not take this into account marking all shifts as expensive. This would prevent vectorization from happening where it is actually beneficial. With this change we differentiate between shifts of constants and other shifts. radar://13576547 llvm-svn: 178808
2013-04-05 01:26:24 +02:00
};
if (Op2Info == TargetTransformInfo::OK_UniformConstantValue &&
ST->hasSSE2()) {
X86TTI: Adjust sdiv cost now that we can lower it on plain SSE2. Includes a fix for a horrible typo that caused all SDIV costs to be slightly off :) llvm-svn: 207371
2014-04-27 20:47:54 +02:00
// pmuldq sequence.
if (ISD == ISD::SDIV && LT.second == MVT::v4i32 && ST->hasSSE41())
return LT.first * 15;
Add a overload to CostTable which allows it to infer the size of the table. Use it to avoid repeating ourselves too often. Also store MVT::SimpleValueType in the TTI tables so they can be statically initialized, MVT's constructors create bloated initialization code otherwise. llvm-svn: 188095
2013-08-09 21:33:32 +02:00
int Idx = CostTableLookup(SSE2UniformConstCostTable, ISD, LT.second);
X86 cost model: Differentiate cost for vector shifts of constants SSE2 has efficient support for shifts by a scalar. My previous change of making shifts expensive did not take this into account marking all shifts as expensive. This would prevent vectorization from happening where it is actually beneficial. With this change we differentiate between shifts of constants and other shifts. radar://13576547 llvm-svn: 178808
2013-04-05 01:26:24 +02:00
if (Idx != -1)
return LT.first * SSE2UniformConstCostTable[Idx].Cost;
}
[Vectorizer] Add a new 'OperandValueKind' in TargetTransformInfo called 'OK_NonUniformConstValue' to identify operands which are constants but not constant splats. The cost model now allows returning 'OK_NonUniformConstValue' for non splat operands that are instances of ConstantVector or ConstantDataVector. With this change, targets are now able to compute different costs for instructions with non-uniform constant operands. For example, On X86 the cost of a vector shift may vary depending on whether the second operand is a uniform or non-uniform constant. This patch applies the following changes: - The cost model computation now takes into account non-uniform constants; - The cost of vector shift instructions has been improved in X86TargetTransformInfo analysis pass; - BBVectorize, SLPVectorizer and LoopVectorize now know how to distinguish between non-uniform and uniform constant operands. Added a new test to verify that the output of opt '-cost-model -analyze' is valid in the following configurations: SSE2, SSE4.1, AVX, AVX2. llvm-svn: 201272
2014-02-13 00:43:47 +01:00
if (ISD == ISD::SHL &&
Op2Info == TargetTransformInfo::OK_NonUniformConstantValue) {
EVT VT = LT.second;
if ((VT == MVT::v8i16 && ST->hasSSE2()) ||
(VT == MVT::v4i32 && ST->hasSSE41()))
// Vector shift left by non uniform constant can be lowered
// into vector multiply (pmullw/pmulld).
return LT.first;
if (VT == MVT::v4i32 && ST->hasSSE2())
// A vector shift left by non uniform constant is converted
// into a vector multiply; the new multiply is eventually
// lowered into a sequence of shuffles and 2 x pmuludq.
ISD = ISD::MUL;
}
X86 cost model: Differentiate cost for vector shifts of constants SSE2 has efficient support for shifts by a scalar. My previous change of making shifts expensive did not take this into account marking all shifts as expensive. This would prevent vectorization from happening where it is actually beneficial. With this change we differentiate between shifts of constants and other shifts. radar://13576547 llvm-svn: 178808
2013-04-05 01:26:24 +02:00
Add a overload to CostTable which allows it to infer the size of the table. Use it to avoid repeating ourselves too often. Also store MVT::SimpleValueType in the TTI tables so they can be statically initialized, MVT's constructors create bloated initialization code otherwise. llvm-svn: 188095
2013-08-09 21:33:32 +02:00
static const CostTblEntry<MVT::SimpleValueType> SSE2CostTable[] = {
X86 cost model: Vector shifts are expensive in most cases The default logic does not correctly identify costs of casts because they are marked as custom on x86. For some cases, where the shift amount is a scalar we would be able to generate better code. Unfortunately, when this is the case the value (the splat) will get hoisted out of the loop, thereby making it invisible to ISel. radar://13130673 radar://13537826 llvm-svn: 178703
2013-04-03 23:46:05 +02:00
// We don't correctly identify costs of casts because they are marked as
// custom.
// For some cases, where the shift amount is a scalar we would be able
// to generate better code. Unfortunately, when this is the case the value
// (the splat) will get hoisted out of the loop, thereby making it invisible
// to ISel. The cost model must return worst case assumptions because it is
// used for vectorization and we don't want to make vectorized code worse
// than scalar code.
{ ISD::SHL, MVT::v16i8, 30 }, // cmpeqb sequence.
{ ISD::SHL, MVT::v8i16, 8*10 }, // Scalarized.
{ ISD::SHL, MVT::v4i32, 2*5 }, // We optimized this using mul.
{ ISD::SHL, MVT::v2i64, 2*10 }, // Scalarized.
[Vectorizer] Add a new 'OperandValueKind' in TargetTransformInfo called 'OK_NonUniformConstValue' to identify operands which are constants but not constant splats. The cost model now allows returning 'OK_NonUniformConstValue' for non splat operands that are instances of ConstantVector or ConstantDataVector. With this change, targets are now able to compute different costs for instructions with non-uniform constant operands. For example, On X86 the cost of a vector shift may vary depending on whether the second operand is a uniform or non-uniform constant. This patch applies the following changes: - The cost model computation now takes into account non-uniform constants; - The cost of vector shift instructions has been improved in X86TargetTransformInfo analysis pass; - BBVectorize, SLPVectorizer and LoopVectorize now know how to distinguish between non-uniform and uniform constant operands. Added a new test to verify that the output of opt '-cost-model -analyze' is valid in the following configurations: SSE2, SSE4.1, AVX, AVX2. llvm-svn: 201272
2014-02-13 00:43:47 +01:00
{ ISD::SHL, MVT::v4i64, 4*10 }, // Scalarized.
X86 cost model: Vector shifts are expensive in most cases The default logic does not correctly identify costs of casts because they are marked as custom on x86. For some cases, where the shift amount is a scalar we would be able to generate better code. Unfortunately, when this is the case the value (the splat) will get hoisted out of the loop, thereby making it invisible to ISel. radar://13130673 radar://13537826 llvm-svn: 178703
2013-04-03 23:46:05 +02:00
{ ISD::SRL, MVT::v16i8, 16*10 }, // Scalarized.
{ ISD::SRL, MVT::v8i16, 8*10 }, // Scalarized.
{ ISD::SRL, MVT::v4i32, 4*10 }, // Scalarized.
{ ISD::SRL, MVT::v2i64, 2*10 }, // Scalarized.
{ ISD::SRA, MVT::v16i8, 16*10 }, // Scalarized.
{ ISD::SRA, MVT::v8i16, 8*10 }, // Scalarized.
{ ISD::SRA, MVT::v4i32, 4*10 }, // Scalarized.
{ ISD::SRA, MVT::v2i64, 2*10 }, // Scalarized.
X86 cost model: Vectorizing integer division is a bad idea radar://14057959 llvm-svn: 184872
2013-06-25 21:14:09 +02:00
// It is not a good idea to vectorize division. We have to scalarize it and
// in the process we will often end up having to spilling regular
// registers. The overhead of division is going to dominate most kernels
// anyways so try hard to prevent vectorization of division - it is
// generally a bad idea. Assume somewhat arbitrarily that we have to be able
// to hide "20 cycles" for each lane.
{ ISD::SDIV, MVT::v16i8, 16*20 },
{ ISD::SDIV, MVT::v8i16, 8*20 },
{ ISD::SDIV, MVT::v4i32, 4*20 },
{ ISD::SDIV, MVT::v2i64, 2*20 },
{ ISD::UDIV, MVT::v16i8, 16*20 },
{ ISD::UDIV, MVT::v8i16, 8*20 },
{ ISD::UDIV, MVT::v4i32, 4*20 },
{ ISD::UDIV, MVT::v2i64, 2*20 },
X86 cost model: Vector shifts are expensive in most cases The default logic does not correctly identify costs of casts because they are marked as custom on x86. For some cases, where the shift amount is a scalar we would be able to generate better code. Unfortunately, when this is the case the value (the splat) will get hoisted out of the loop, thereby making it invisible to ISel. radar://13130673 radar://13537826 llvm-svn: 178703
2013-04-03 23:46:05 +02:00
};
if (ST->hasSSE2()) {
Add a overload to CostTable which allows it to infer the size of the table. Use it to avoid repeating ourselves too often. Also store MVT::SimpleValueType in the TTI tables so they can be statically initialized, MVT's constructors create bloated initialization code otherwise. llvm-svn: 188095
2013-08-09 21:33:32 +02:00
int Idx = CostTableLookup(SSE2CostTable, ISD, LT.second);
X86 cost model: Vector shifts are expensive in most cases The default logic does not correctly identify costs of casts because they are marked as custom on x86. For some cases, where the shift amount is a scalar we would be able to generate better code. Unfortunately, when this is the case the value (the splat) will get hoisted out of the loop, thereby making it invisible to ISel. radar://13130673 radar://13537826 llvm-svn: 178703
2013-04-03 23:46:05 +02:00
if (Idx != -1)
return LT.first * SSE2CostTable[Idx].Cost;
}
Add a overload to CostTable which allows it to infer the size of the table. Use it to avoid repeating ourselves too often. Also store MVT::SimpleValueType in the TTI tables so they can be statically initialized, MVT's constructors create bloated initialization code otherwise. llvm-svn: 188095
2013-08-09 21:33:32 +02:00
static const CostTblEntry<MVT::SimpleValueType> AVX1CostTable[] = {
Revert CostTable algorithm, will re-write llvm-svn: 172992
2013-01-20 21:57:20 +01:00
// We don't have to scalarize unsupported ops. We can issue two half-sized
// operations and we only need to extract the upper YMM half.
// Two ops + 1 extract + 1 insert = 4.
[Vectorizer] Add a new 'OperandValueKind' in TargetTransformInfo called 'OK_NonUniformConstValue' to identify operands which are constants but not constant splats. The cost model now allows returning 'OK_NonUniformConstValue' for non splat operands that are instances of ConstantVector or ConstantDataVector. With this change, targets are now able to compute different costs for instructions with non-uniform constant operands. For example, On X86 the cost of a vector shift may vary depending on whether the second operand is a uniform or non-uniform constant. This patch applies the following changes: - The cost model computation now takes into account non-uniform constants; - The cost of vector shift instructions has been improved in X86TargetTransformInfo analysis pass; - BBVectorize, SLPVectorizer and LoopVectorize now know how to distinguish between non-uniform and uniform constant operands. Added a new test to verify that the output of opt '-cost-model -analyze' is valid in the following configurations: SSE2, SSE4.1, AVX, AVX2. llvm-svn: 201272
2014-02-13 00:43:47 +01:00
{ ISD::MUL, MVT::v16i16, 4 },
Revert CostTable algorithm, will re-write llvm-svn: 172992
2013-01-20 21:57:20 +01:00
{ ISD::MUL, MVT::v8i32, 4 },
{ ISD::SUB, MVT::v8i32, 4 },
{ ISD::ADD, MVT::v8i32, 4 },
{ ISD::SUB, MVT::v4i64, 4 },
{ ISD::ADD, MVT::v4i64, 4 },
X86 cost model: Adjust cost for custom lowered vector multiplies This matters for example in following matrix multiply: int **mmult(int rows, int cols, int **m1, int **m2, int **m3) { int i, j, k, val; for (i=0; i<rows; i++) { for (j=0; j<cols; j++) { val = 0; for (k=0; k<cols; k++) { val += m1[i][k] * m2[k][j]; } m3[i][j] = val; } } return(m3); } Taken from the test-suite benchmark Shootout. We estimate the cost of the multiply to be 2 while we generate 9 instructions for it and end up being quite a bit slower than the scalar version (48% on my machine). Also, properly differentiate between avx1 and avx2. On avx-1 we still split the vector into 2 128bits and handle the subvector muls like above with 9 instructions. Only on avx-2 will we have a cost of 9 for v4i64. I changed the test case in test/Transforms/LoopVectorize/X86/avx1.ll to use an add instead of a mul because with a mul we now no longer vectorize. I did verify that the mul would be indeed more expensive when vectorized with 3 kernels: for (i ...) r += a[i] * 3; for (i ...) m1[i] = m1[i] * 3; // This matches the test case in avx1.ll and a matrix multiply. In each case the vectorized version was considerably slower. radar://13304919 llvm-svn: 176403
2013-03-02 05:02:52 +01:00
// A v4i64 multiply is custom lowered as two split v2i64 vectors that then
// are lowered as a series of long multiplies(3), shifts(4) and adds(2)
// Because we believe v4i64 to be a legal type, we must also include the
// split factor of two in the cost table. Therefore, the cost here is 18
// instead of 9.
{ ISD::MUL, MVT::v4i64, 18 },
};
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
// Look for AVX1 lowering tricks.
X86 cost model: Adjust cost for custom lowered vector multiplies This matters for example in following matrix multiply: int **mmult(int rows, int cols, int **m1, int **m2, int **m3) { int i, j, k, val; for (i=0; i<rows; i++) { for (j=0; j<cols; j++) { val = 0; for (k=0; k<cols; k++) { val += m1[i][k] * m2[k][j]; } m3[i][j] = val; } } return(m3); } Taken from the test-suite benchmark Shootout. We estimate the cost of the multiply to be 2 while we generate 9 instructions for it and end up being quite a bit slower than the scalar version (48% on my machine). Also, properly differentiate between avx1 and avx2. On avx-1 we still split the vector into 2 128bits and handle the subvector muls like above with 9 instructions. Only on avx-2 will we have a cost of 9 for v4i64. I changed the test case in test/Transforms/LoopVectorize/X86/avx1.ll to use an add instead of a mul because with a mul we now no longer vectorize. I did verify that the mul would be indeed more expensive when vectorized with 3 kernels: for (i ...) r += a[i] * 3; for (i ...) m1[i] = m1[i] * 3; // This matches the test case in avx1.ll and a matrix multiply. In each case the vectorized version was considerably slower. radar://13304919 llvm-svn: 176403
2013-03-02 05:02:52 +01:00
if (ST->hasAVX() && !ST->hasAVX2()) {
[Vectorizer] Add a new 'OperandValueKind' in TargetTransformInfo called 'OK_NonUniformConstValue' to identify operands which are constants but not constant splats. The cost model now allows returning 'OK_NonUniformConstValue' for non splat operands that are instances of ConstantVector or ConstantDataVector. With this change, targets are now able to compute different costs for instructions with non-uniform constant operands. For example, On X86 the cost of a vector shift may vary depending on whether the second operand is a uniform or non-uniform constant. This patch applies the following changes: - The cost model computation now takes into account non-uniform constants; - The cost of vector shift instructions has been improved in X86TargetTransformInfo analysis pass; - BBVectorize, SLPVectorizer and LoopVectorize now know how to distinguish between non-uniform and uniform constant operands. Added a new test to verify that the output of opt '-cost-model -analyze' is valid in the following configurations: SSE2, SSE4.1, AVX, AVX2. llvm-svn: 201272
2014-02-13 00:43:47 +01:00
EVT VT = LT.second;
// v16i16 and v8i32 shifts by non-uniform constants are lowered into a
// sequence of extract + two vector multiply + insert.
if (ISD == ISD::SHL && (VT == MVT::v8i32 || VT == MVT::v16i16) &&
Op2Info == TargetTransformInfo::OK_NonUniformConstantValue)
ISD = ISD::MUL;
int Idx = CostTableLookup(AVX1CostTable, ISD, VT);
Revert CostTable algorithm, will re-write llvm-svn: 172992
2013-01-20 21:57:20 +01:00
if (Idx != -1)
return LT.first * AVX1CostTable[Idx].Cost;
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
}
X86 cost model: Adjust cost for custom lowered vector multiplies This matters for example in following matrix multiply: int **mmult(int rows, int cols, int **m1, int **m2, int **m3) { int i, j, k, val; for (i=0; i<rows; i++) { for (j=0; j<cols; j++) { val = 0; for (k=0; k<cols; k++) { val += m1[i][k] * m2[k][j]; } m3[i][j] = val; } } return(m3); } Taken from the test-suite benchmark Shootout. We estimate the cost of the multiply to be 2 while we generate 9 instructions for it and end up being quite a bit slower than the scalar version (48% on my machine). Also, properly differentiate between avx1 and avx2. On avx-1 we still split the vector into 2 128bits and handle the subvector muls like above with 9 instructions. Only on avx-2 will we have a cost of 9 for v4i64. I changed the test case in test/Transforms/LoopVectorize/X86/avx1.ll to use an add instead of a mul because with a mul we now no longer vectorize. I did verify that the mul would be indeed more expensive when vectorized with 3 kernels: for (i ...) r += a[i] * 3; for (i ...) m1[i] = m1[i] * 3; // This matches the test case in avx1.ll and a matrix multiply. In each case the vectorized version was considerably slower. radar://13304919 llvm-svn: 176403
2013-03-02 05:02:52 +01:00
// Custom lowering of vectors.
Add a overload to CostTable which allows it to infer the size of the table. Use it to avoid repeating ourselves too often. Also store MVT::SimpleValueType in the TTI tables so they can be statically initialized, MVT's constructors create bloated initialization code otherwise. llvm-svn: 188095
2013-08-09 21:33:32 +02:00
static const CostTblEntry<MVT::SimpleValueType> CustomLowered[] = {
X86 cost model: Adjust cost for custom lowered vector multiplies This matters for example in following matrix multiply: int **mmult(int rows, int cols, int **m1, int **m2, int **m3) { int i, j, k, val; for (i=0; i<rows; i++) { for (j=0; j<cols; j++) { val = 0; for (k=0; k<cols; k++) { val += m1[i][k] * m2[k][j]; } m3[i][j] = val; } } return(m3); } Taken from the test-suite benchmark Shootout. We estimate the cost of the multiply to be 2 while we generate 9 instructions for it and end up being quite a bit slower than the scalar version (48% on my machine). Also, properly differentiate between avx1 and avx2. On avx-1 we still split the vector into 2 128bits and handle the subvector muls like above with 9 instructions. Only on avx-2 will we have a cost of 9 for v4i64. I changed the test case in test/Transforms/LoopVectorize/X86/avx1.ll to use an add instead of a mul because with a mul we now no longer vectorize. I did verify that the mul would be indeed more expensive when vectorized with 3 kernels: for (i ...) r += a[i] * 3; for (i ...) m1[i] = m1[i] * 3; // This matches the test case in avx1.ll and a matrix multiply. In each case the vectorized version was considerably slower. radar://13304919 llvm-svn: 176403
2013-03-02 05:02:52 +01:00
// A v2i64/v4i64 and multiply is custom lowered as a series of long
// multiplies(3), shifts(4) and adds(2).
{ ISD::MUL, MVT::v2i64, 9 },
{ ISD::MUL, MVT::v4i64, 9 },
};
Add a overload to CostTable which allows it to infer the size of the table. Use it to avoid repeating ourselves too often. Also store MVT::SimpleValueType in the TTI tables so they can be statically initialized, MVT's constructors create bloated initialization code otherwise. llvm-svn: 188095
2013-08-09 21:33:32 +02:00
int Idx = CostTableLookup(CustomLowered, ISD, LT.second);
X86 cost model: Adjust cost for custom lowered vector multiplies This matters for example in following matrix multiply: int **mmult(int rows, int cols, int **m1, int **m2, int **m3) { int i, j, k, val; for (i=0; i<rows; i++) { for (j=0; j<cols; j++) { val = 0; for (k=0; k<cols; k++) { val += m1[i][k] * m2[k][j]; } m3[i][j] = val; } } return(m3); } Taken from the test-suite benchmark Shootout. We estimate the cost of the multiply to be 2 while we generate 9 instructions for it and end up being quite a bit slower than the scalar version (48% on my machine). Also, properly differentiate between avx1 and avx2. On avx-1 we still split the vector into 2 128bits and handle the subvector muls like above with 9 instructions. Only on avx-2 will we have a cost of 9 for v4i64. I changed the test case in test/Transforms/LoopVectorize/X86/avx1.ll to use an add instead of a mul because with a mul we now no longer vectorize. I did verify that the mul would be indeed more expensive when vectorized with 3 kernels: for (i ...) r += a[i] * 3; for (i ...) m1[i] = m1[i] * 3; // This matches the test case in avx1.ll and a matrix multiply. In each case the vectorized version was considerably slower. radar://13304919 llvm-svn: 176403
2013-03-02 05:02:52 +01:00
if (Idx != -1)
return LT.first * CustomLowered[Idx].Cost;
// Special lowering of v4i32 mul on sse2, sse3: Lower v4i32 mul as 2x shuffle,
// 2x pmuludq, 2x shuffle.
if (ISD == ISD::MUL && LT.second == MVT::v4i32 && ST->hasSSE2() &&
!ST->hasSSE41())
[Vectorizer] Add a new 'OperandValueKind' in TargetTransformInfo called 'OK_NonUniformConstValue' to identify operands which are constants but not constant splats. The cost model now allows returning 'OK_NonUniformConstValue' for non splat operands that are instances of ConstantVector or ConstantDataVector. With this change, targets are now able to compute different costs for instructions with non-uniform constant operands. For example, On X86 the cost of a vector shift may vary depending on whether the second operand is a uniform or non-uniform constant. This patch applies the following changes: - The cost model computation now takes into account non-uniform constants; - The cost of vector shift instructions has been improved in X86TargetTransformInfo analysis pass; - BBVectorize, SLPVectorizer and LoopVectorize now know how to distinguish between non-uniform and uniform constant operands. Added a new test to verify that the output of opt '-cost-model -analyze' is valid in the following configurations: SSE2, SSE4.1, AVX, AVX2. llvm-svn: 201272
2014-02-13 00:43:47 +01:00
return LT.first * 6;
X86 cost model: Adjust cost for custom lowered vector multiplies This matters for example in following matrix multiply: int **mmult(int rows, int cols, int **m1, int **m2, int **m3) { int i, j, k, val; for (i=0; i<rows; i++) { for (j=0; j<cols; j++) { val = 0; for (k=0; k<cols; k++) { val += m1[i][k] * m2[k][j]; } m3[i][j] = val; } } return(m3); } Taken from the test-suite benchmark Shootout. We estimate the cost of the multiply to be 2 while we generate 9 instructions for it and end up being quite a bit slower than the scalar version (48% on my machine). Also, properly differentiate between avx1 and avx2. On avx-1 we still split the vector into 2 128bits and handle the subvector muls like above with 9 instructions. Only on avx-2 will we have a cost of 9 for v4i64. I changed the test case in test/Transforms/LoopVectorize/X86/avx1.ll to use an add instead of a mul because with a mul we now no longer vectorize. I did verify that the mul would be indeed more expensive when vectorized with 3 kernels: for (i ...) r += a[i] * 3; for (i ...) m1[i] = m1[i] * 3; // This matches the test case in avx1.ll and a matrix multiply. In each case the vectorized version was considerably slower. radar://13304919 llvm-svn: 176403
2013-03-02 05:02:52 +01:00
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
// Fallback to the default implementation.
CostModel: Add parameter to instruction cost to further classify operand values On certain architectures we can support efficient vectorized version of instructions if the operand value is uniform (splat) or a constant scalar. An example of this is a vector shift on x86. We can efficiently support for (i = 0 ; i < ; i += 4) w[0:3] = v[0:3] << <2, 2, 2, 2> but not for (i = 0; i < ; i += 4) w[0:3] = v[0:3] << x[0:3] This patch adds a parameter to getArithmeticInstrCost to further qualify operand values as uniform or uniform constant. Targets can then choose to return a different cost for instructions with such operand values. A follow-up commit will test this feature on x86. radar://13576547 llvm-svn: 178807
2013-04-05 01:26:21 +02:00
return TargetTransformInfo::getArithmeticInstrCost(Opcode, Ty, Op1Info,
Op2Info);
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
}
unsigned X86TTI::getShuffleCost(ShuffleKind Kind, Type *Tp, int Index,
Type *SubTp) const {
// We only estimate the cost of reverse shuffles.
Fix the enumerator names for ShuffleKind to match tho coding standards, and make its comments doxygen comments. llvm-svn: 171688
2013-01-07 04:20:02 +01:00
if (Kind != SK_Reverse)
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
return TargetTransformInfo::getShuffleCost(Kind, Tp, Index, SubTp);
std::pair<unsigned, MVT> LT = TLI->getTypeLegalizationCost(Tp);
unsigned Cost = 1;
if (LT.second.getSizeInBits() > 128)
Cost = 3; // Extract + insert + copy.
// Multiple by the number of parts.
return Cost * LT.first;
}
unsigned X86TTI::getCastInstrCost(unsigned Opcode, Type *Dst, Type *Src) const {
int ISD = TLI->InstructionOpcodeToISD(Opcode);
assert(ISD && "Invalid opcode");
X86 cost model: Model cost for uitofp and sitofp on SSE2 The costs are overfitted so that I can still use the legalization factor. For example the following kernel has about half the throughput vectorized than unvectorized when compiled with SSE2. Before this patch we would vectorize it. unsigned short A[1024]; double B[1024]; void f() { int i; for (i = 0; i < 1024; ++i) { B[i] = (double) A[i]; } } radar://13599001 llvm-svn: 179033
2013-04-08 20:05:48 +02:00
std::pair<unsigned, MVT> LTSrc = TLI->getTypeLegalizationCost(Src);
std::pair<unsigned, MVT> LTDest = TLI->getTypeLegalizationCost(Dst);
Add a overload to CostTable which allows it to infer the size of the table. Use it to avoid repeating ourselves too often. Also store MVT::SimpleValueType in the TTI tables so they can be statically initialized, MVT's constructors create bloated initialization code otherwise. llvm-svn: 188095
2013-08-09 21:33:32 +02:00
static const TypeConversionCostTblEntry<MVT::SimpleValueType>
SSE2ConvTbl[] = {
X86 cost model: Model cost for uitofp and sitofp on SSE2 The costs are overfitted so that I can still use the legalization factor. For example the following kernel has about half the throughput vectorized than unvectorized when compiled with SSE2. Before this patch we would vectorize it. unsigned short A[1024]; double B[1024]; void f() { int i; for (i = 0; i < 1024; ++i) { B[i] = (double) A[i]; } } radar://13599001 llvm-svn: 179033
2013-04-08 20:05:48 +02:00
// These are somewhat magic numbers justified by looking at the output of
// Intel's IACA, running some kernels and making sure when we take
// legalization into account the throughput will be overestimated.
{ ISD::UINT_TO_FP, MVT::v2f64, MVT::v2i64, 2*10 },
{ ISD::UINT_TO_FP, MVT::v2f64, MVT::v4i32, 4*10 },
{ ISD::UINT_TO_FP, MVT::v2f64, MVT::v8i16, 8*10 },
{ ISD::UINT_TO_FP, MVT::v2f64, MVT::v16i8, 16*10 },
{ ISD::SINT_TO_FP, MVT::v2f64, MVT::v2i64, 2*10 },
{ ISD::SINT_TO_FP, MVT::v2f64, MVT::v4i32, 4*10 },
{ ISD::SINT_TO_FP, MVT::v2f64, MVT::v8i16, 8*10 },
{ ISD::SINT_TO_FP, MVT::v2f64, MVT::v16i8, 16*10 },
// There are faster sequences for float conversions.
{ ISD::UINT_TO_FP, MVT::v4f32, MVT::v2i64, 15 },
{ ISD::UINT_TO_FP, MVT::v4f32, MVT::v4i32, 15 },
{ ISD::UINT_TO_FP, MVT::v4f32, MVT::v8i16, 15 },
{ ISD::UINT_TO_FP, MVT::v4f32, MVT::v16i8, 8 },
{ ISD::SINT_TO_FP, MVT::v4f32, MVT::v2i64, 15 },
{ ISD::SINT_TO_FP, MVT::v4f32, MVT::v4i32, 15 },
{ ISD::SINT_TO_FP, MVT::v4f32, MVT::v8i16, 15 },
{ ISD::SINT_TO_FP, MVT::v4f32, MVT::v16i8, 8 },
};
if (ST->hasSSE2() && !ST->hasAVX()) {
Add a overload to CostTable which allows it to infer the size of the table. Use it to avoid repeating ourselves too often. Also store MVT::SimpleValueType in the TTI tables so they can be statically initialized, MVT's constructors create bloated initialization code otherwise. llvm-svn: 188095
2013-08-09 21:33:32 +02:00
int Idx =
ConvertCostTableLookup(SSE2ConvTbl, ISD, LTDest.second, LTSrc.second);
X86 cost model: Model cost for uitofp and sitofp on SSE2 The costs are overfitted so that I can still use the legalization factor. For example the following kernel has about half the throughput vectorized than unvectorized when compiled with SSE2. Before this patch we would vectorize it. unsigned short A[1024]; double B[1024]; void f() { int i; for (i = 0; i < 1024; ++i) { B[i] = (double) A[i]; } } radar://13599001 llvm-svn: 179033
2013-04-08 20:05:48 +02:00
if (Idx != -1)
return LTSrc.first * SSE2ConvTbl[Idx].Cost;
}
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
EVT SrcTy = TLI->getValueType(Src);
EVT DstTy = TLI->getValueType(Dst);
X86 cost model: Exit before calling getSimpleVT on non-simple VTs getSimpleVT can only handle simple value types. radar://13676022 llvm-svn: 179714
2013-04-17 22:04:53 +02:00
// The function getSimpleVT only handles simple value types.
if (!SrcTy.isSimple() || !DstTy.isSimple())
return TargetTransformInfo::getCastInstrCost(Opcode, Dst, Src);
X86: add costs for 64-bit vector ext/trunc & rebalance The most important part of this is probably adding any cost at all for operations like zext <8 x i8> to <8 x i32>. Before they were being recorded as extremely costly (24, I believe) which made LLVM fall back on a 4-wide vectorisation of a loop. It also rebalances the values for sext, zext and trunc. Lacking any other sane metric that might work across CPU microarchitectures I went for instructions. This seems to be in reasonable accord with the rest of the table (sitofp, ...) though no doubt at least one value is sub-optimal for some bizarre reason. Finally, separate AVX and AVX2 values are provided where appropriate. The CodeGen is quite different in many cases. rdar://problem/15981990 llvm-svn: 200928
2014-02-06 19:18:36 +01:00
static const TypeConversionCostTblEntry<MVT::SimpleValueType>
AVX2ConversionTbl[] = {
{ ISD::SIGN_EXTEND, MVT::v16i16, MVT::v16i8, 1 },
{ ISD::ZERO_EXTEND, MVT::v16i16, MVT::v16i8, 1 },
{ ISD::SIGN_EXTEND, MVT::v8i32, MVT::v8i1, 3 },
{ ISD::ZERO_EXTEND, MVT::v8i32, MVT::v8i1, 3 },
{ ISD::SIGN_EXTEND, MVT::v8i32, MVT::v8i8, 3 },
{ ISD::ZERO_EXTEND, MVT::v8i32, MVT::v8i8, 3 },
{ ISD::SIGN_EXTEND, MVT::v8i32, MVT::v8i16, 1 },
{ ISD::ZERO_EXTEND, MVT::v8i32, MVT::v8i16, 1 },
{ ISD::SIGN_EXTEND, MVT::v4i64, MVT::v4i1, 3 },
{ ISD::ZERO_EXTEND, MVT::v4i64, MVT::v4i1, 3 },
{ ISD::SIGN_EXTEND, MVT::v4i64, MVT::v4i8, 3 },
{ ISD::ZERO_EXTEND, MVT::v4i64, MVT::v4i8, 3 },
{ ISD::SIGN_EXTEND, MVT::v4i64, MVT::v4i16, 3 },
{ ISD::ZERO_EXTEND, MVT::v4i64, MVT::v4i16, 3 },
{ ISD::SIGN_EXTEND, MVT::v4i64, MVT::v4i32, 1 },
{ ISD::ZERO_EXTEND, MVT::v4i64, MVT::v4i32, 1 },
{ ISD::TRUNCATE, MVT::v4i8, MVT::v4i64, 2 },
{ ISD::TRUNCATE, MVT::v4i16, MVT::v4i64, 2 },
{ ISD::TRUNCATE, MVT::v4i32, MVT::v4i64, 2 },
{ ISD::TRUNCATE, MVT::v8i8, MVT::v8i32, 2 },
{ ISD::TRUNCATE, MVT::v8i16, MVT::v8i32, 2 },
{ ISD::TRUNCATE, MVT::v8i32, MVT::v8i64, 4 },
};
Add a overload to CostTable which allows it to infer the size of the table. Use it to avoid repeating ourselves too often. Also store MVT::SimpleValueType in the TTI tables so they can be statically initialized, MVT's constructors create bloated initialization code otherwise. llvm-svn: 188095
2013-08-09 21:33:32 +02:00
static const TypeConversionCostTblEntry<MVT::SimpleValueType>
AVXConversionTbl[] = {
X86: add costs for 64-bit vector ext/trunc & rebalance The most important part of this is probably adding any cost at all for operations like zext <8 x i8> to <8 x i32>. Before they were being recorded as extremely costly (24, I believe) which made LLVM fall back on a 4-wide vectorisation of a loop. It also rebalances the values for sext, zext and trunc. Lacking any other sane metric that might work across CPU microarchitectures I went for instructions. This seems to be in reasonable accord with the rest of the table (sitofp, ...) though no doubt at least one value is sub-optimal for some bizarre reason. Finally, separate AVX and AVX2 values are provided where appropriate. The CodeGen is quite different in many cases. rdar://problem/15981990 llvm-svn: 200928
2014-02-06 19:18:36 +01:00
{ ISD::SIGN_EXTEND, MVT::v16i16, MVT::v16i8, 4 },
{ ISD::ZERO_EXTEND, MVT::v16i16, MVT::v16i8, 4 },
{ ISD::SIGN_EXTEND, MVT::v8i32, MVT::v8i1, 7 },
{ ISD::ZERO_EXTEND, MVT::v8i32, MVT::v8i1, 4 },
{ ISD::SIGN_EXTEND, MVT::v8i32, MVT::v8i8, 7 },
{ ISD::ZERO_EXTEND, MVT::v8i32, MVT::v8i8, 4 },
{ ISD::SIGN_EXTEND, MVT::v8i32, MVT::v8i16, 4 },
{ ISD::ZERO_EXTEND, MVT::v8i32, MVT::v8i16, 4 },
{ ISD::SIGN_EXTEND, MVT::v4i64, MVT::v4i1, 6 },
{ ISD::ZERO_EXTEND, MVT::v4i64, MVT::v4i1, 4 },
{ ISD::SIGN_EXTEND, MVT::v4i64, MVT::v4i8, 6 },
{ ISD::ZERO_EXTEND, MVT::v4i64, MVT::v4i8, 4 },
{ ISD::SIGN_EXTEND, MVT::v4i64, MVT::v4i16, 6 },
{ ISD::ZERO_EXTEND, MVT::v4i64, MVT::v4i16, 3 },
{ ISD::SIGN_EXTEND, MVT::v4i64, MVT::v4i32, 4 },
{ ISD::ZERO_EXTEND, MVT::v4i64, MVT::v4i32, 4 },
{ ISD::TRUNCATE, MVT::v4i8, MVT::v4i64, 4 },
{ ISD::TRUNCATE, MVT::v4i16, MVT::v4i64, 4 },
{ ISD::TRUNCATE, MVT::v4i32, MVT::v4i64, 4 },
{ ISD::TRUNCATE, MVT::v8i8, MVT::v8i32, 4 },
{ ISD::TRUNCATE, MVT::v8i16, MVT::v8i32, 5 },
{ ISD::TRUNCATE, MVT::v16i8, MVT::v16i16, 4 },
{ ISD::TRUNCATE, MVT::v8i32, MVT::v8i64, 9 },
X86TTI: Add accurate costs for itofp operations, based on the actual instruction counts. llvm-svn: 178459
2013-04-01 12:23:49 +02:00
{ ISD::SINT_TO_FP, MVT::v8f32, MVT::v8i1, 8 },
{ ISD::SINT_TO_FP, MVT::v8f32, MVT::v8i8, 8 },
{ ISD::SINT_TO_FP, MVT::v8f32, MVT::v8i16, 5 },
{ ISD::SINT_TO_FP, MVT::v8f32, MVT::v8i32, 1 },
{ ISD::SINT_TO_FP, MVT::v4f32, MVT::v4i1, 3 },
{ ISD::SINT_TO_FP, MVT::v4f32, MVT::v4i8, 3 },
{ ISD::SINT_TO_FP, MVT::v4f32, MVT::v4i16, 3 },
{ ISD::SINT_TO_FP, MVT::v4f32, MVT::v4i32, 1 },
{ ISD::SINT_TO_FP, MVT::v4f64, MVT::v4i1, 3 },
{ ISD::SINT_TO_FP, MVT::v4f64, MVT::v4i8, 3 },
{ ISD::SINT_TO_FP, MVT::v4f64, MVT::v4i16, 3 },
{ ISD::SINT_TO_FP, MVT::v4f64, MVT::v4i32, 1 },
{ ISD::UINT_TO_FP, MVT::v8f32, MVT::v8i1, 6 },
{ ISD::UINT_TO_FP, MVT::v8f32, MVT::v8i8, 5 },
{ ISD::UINT_TO_FP, MVT::v8f32, MVT::v8i16, 5 },
{ ISD::UINT_TO_FP, MVT::v8f32, MVT::v8i32, 9 },
{ ISD::UINT_TO_FP, MVT::v4f32, MVT::v4i1, 7 },
{ ISD::UINT_TO_FP, MVT::v4f32, MVT::v4i8, 2 },
{ ISD::UINT_TO_FP, MVT::v4f32, MVT::v4i16, 2 },
{ ISD::UINT_TO_FP, MVT::v4f32, MVT::v4i32, 6 },
{ ISD::UINT_TO_FP, MVT::v4f64, MVT::v4i1, 7 },
{ ISD::UINT_TO_FP, MVT::v4f64, MVT::v4i8, 2 },
{ ISD::UINT_TO_FP, MVT::v4f64, MVT::v4i16, 2 },
{ ISD::UINT_TO_FP, MVT::v4f64, MVT::v4i32, 6 },
[X86][Vector Cost Model] Add a comment to explain the workaround in my previous commit (r204884). <rdar://problem/16381225> llvm-svn: 204972
2014-03-27 23:27:41 +01:00
// The generic code to compute the scalar overhead is currently broken.
// Workaround this limitation by estimating the scalarization overhead
// here. We have roughly 10 instructions per scalar element.
// Multiply that by the vector width.
// FIXME: remove that when PR19268 is fixed.
[X86][Vectorizer Cost Model] Correct vectorization cost model for v2i64->v2f64 and v4i64->v4f64. The new costs match what we did for SSE2 and reflect the reality of our codegen. <rdar://problem/16381225> llvm-svn: 204884
2014-03-27 01:52:16 +01:00
{ ISD::UINT_TO_FP, MVT::v2f64, MVT::v2i64, 2*10 },
{ ISD::UINT_TO_FP, MVT::v4f64, MVT::v4i64, 4*10 },
X86TTI: Add accurate costs for itofp operations, based on the actual instruction counts. llvm-svn: 178459
2013-04-01 12:23:49 +02:00
X86: Correct vectorization cost model for v8f32->v8i8. Fix the cost model to reflect the reality of our codegen. rdar://16370633 llvm-svn: 204880
2014-03-27 01:04:11 +01:00
{ ISD::FP_TO_SINT, MVT::v8i8, MVT::v8f32, 7 },
Revert CostTable algorithm, will re-write llvm-svn: 172992
2013-01-20 21:57:20 +01:00
{ ISD::FP_TO_SINT, MVT::v4i8, MVT::v4f32, 1 },
[X86] Adjust cost of FP_TO_UINT v8f32->v8i32 There is no direct AVX instruction to convert to unsigned. I have some ideas how we may be able to do this with three vector instructions but the current backend just bails on this to get it scalarized. See the comment why we need to adjust the cost returned by BasicTTI. The test is a bit roundabout (and checks assembly rather than bit code) because I'd like it to work even if at some point we could vectorize this conversion. Fixes <rdar://problem/16371920> llvm-svn: 205159
2014-03-30 20:07:13 +02:00
// This node is expanded into scalarized operations but BasicTTI is overly
// optimistic estimating its cost. It computes 3 per element (one
// vector-extract, one scalar conversion and one vector-insert). The
// problem is that the inserts form a read-modify-write chain so latency
// should be factored in too. Inflating the cost per element by 1.
{ ISD::FP_TO_UINT, MVT::v8i32, MVT::v8f32, 8*4 },
[X86] Adjust cost of FP_TO_UINT v4f64->v4i32 as well Pretty obvious follow-on to r205159 to also handle conversion from double besides float. Fixes <rdar://problem/16373208> llvm-svn: 205253
2014-03-31 23:54:48 +02:00
{ ISD::FP_TO_UINT, MVT::v4i32, MVT::v4f64, 4*4 },
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
};
X86: add costs for 64-bit vector ext/trunc & rebalance The most important part of this is probably adding any cost at all for operations like zext <8 x i8> to <8 x i32>. Before they were being recorded as extremely costly (24, I believe) which made LLVM fall back on a 4-wide vectorisation of a loop. It also rebalances the values for sext, zext and trunc. Lacking any other sane metric that might work across CPU microarchitectures I went for instructions. This seems to be in reasonable accord with the rest of the table (sitofp, ...) though no doubt at least one value is sub-optimal for some bizarre reason. Finally, separate AVX and AVX2 values are provided where appropriate. The CodeGen is quite different in many cases. rdar://problem/15981990 llvm-svn: 200928
2014-02-06 19:18:36 +01:00
if (ST->hasAVX2()) {
int Idx = ConvertCostTableLookup(AVX2ConversionTbl, ISD,
DstTy.getSimpleVT(), SrcTy.getSimpleVT());
if (Idx != -1)
return AVX2ConversionTbl[Idx].Cost;
}
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
if (ST->hasAVX()) {
Add a overload to CostTable which allows it to infer the size of the table. Use it to avoid repeating ourselves too often. Also store MVT::SimpleValueType in the TTI tables so they can be statically initialized, MVT's constructors create bloated initialization code otherwise. llvm-svn: 188095
2013-08-09 21:33:32 +02:00
int Idx = ConvertCostTableLookup(AVXConversionTbl, ISD, DstTy.getSimpleVT(),
SrcTy.getSimpleVT());
Revert CostTable algorithm, will re-write llvm-svn: 172992
2013-01-20 21:57:20 +01:00
if (Idx != -1)
return AVXConversionTbl[Idx].Cost;
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
}
return TargetTransformInfo::getCastInstrCost(Opcode, Dst, Src);
}
unsigned X86TTI::getCmpSelInstrCost(unsigned Opcode, Type *ValTy,
Type *CondTy) const {
// Legalize the type.
std::pair<unsigned, MVT> LT = TLI->getTypeLegalizationCost(ValTy);
MVT MTy = LT.second;
int ISD = TLI->InstructionOpcodeToISD(Opcode);
assert(ISD && "Invalid opcode");
Add a overload to CostTable which allows it to infer the size of the table. Use it to avoid repeating ourselves too often. Also store MVT::SimpleValueType in the TTI tables so they can be statically initialized, MVT's constructors create bloated initialization code otherwise. llvm-svn: 188095
2013-08-09 21:33:32 +02:00
static const CostTblEntry<MVT::SimpleValueType> SSE42CostTbl[] = {
Revert CostTable algorithm, will re-write llvm-svn: 172992
2013-01-20 21:57:20 +01:00
{ ISD::SETCC, MVT::v2f64, 1 },
{ ISD::SETCC, MVT::v4f32, 1 },
{ ISD::SETCC, MVT::v2i64, 1 },
{ ISD::SETCC, MVT::v4i32, 1 },
{ ISD::SETCC, MVT::v8i16, 1 },
{ ISD::SETCC, MVT::v16i8, 1 },
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
};
Add a overload to CostTable which allows it to infer the size of the table. Use it to avoid repeating ourselves too often. Also store MVT::SimpleValueType in the TTI tables so they can be statically initialized, MVT's constructors create bloated initialization code otherwise. llvm-svn: 188095
2013-08-09 21:33:32 +02:00
static const CostTblEntry<MVT::SimpleValueType> AVX1CostTbl[] = {
Revert CostTable algorithm, will re-write llvm-svn: 172992
2013-01-20 21:57:20 +01:00
{ ISD::SETCC, MVT::v4f64, 1 },
{ ISD::SETCC, MVT::v8f32, 1 },
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
// AVX1 does not support 8-wide integer compare.
Revert CostTable algorithm, will re-write llvm-svn: 172992
2013-01-20 21:57:20 +01:00
{ ISD::SETCC, MVT::v4i64, 4 },
{ ISD::SETCC, MVT::v8i32, 4 },
{ ISD::SETCC, MVT::v16i16, 4 },
{ ISD::SETCC, MVT::v32i8, 4 },
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
};
Add a overload to CostTable which allows it to infer the size of the table. Use it to avoid repeating ourselves too often. Also store MVT::SimpleValueType in the TTI tables so they can be statically initialized, MVT's constructors create bloated initialization code otherwise. llvm-svn: 188095
2013-08-09 21:33:32 +02:00
static const CostTblEntry<MVT::SimpleValueType> AVX2CostTbl[] = {
Revert CostTable algorithm, will re-write llvm-svn: 172992
2013-01-20 21:57:20 +01:00
{ ISD::SETCC, MVT::v4i64, 1 },
{ ISD::SETCC, MVT::v8i32, 1 },
{ ISD::SETCC, MVT::v16i16, 1 },
{ ISD::SETCC, MVT::v32i8, 1 },
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
};
if (ST->hasAVX2()) {
Add a overload to CostTable which allows it to infer the size of the table. Use it to avoid repeating ourselves too often. Also store MVT::SimpleValueType in the TTI tables so they can be statically initialized, MVT's constructors create bloated initialization code otherwise. llvm-svn: 188095
2013-08-09 21:33:32 +02:00
int Idx = CostTableLookup(AVX2CostTbl, ISD, MTy);
Revert CostTable algorithm, will re-write llvm-svn: 172992
2013-01-20 21:57:20 +01:00
if (Idx != -1)
return LT.first * AVX2CostTbl[Idx].Cost;
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
}
if (ST->hasAVX()) {
Add a overload to CostTable which allows it to infer the size of the table. Use it to avoid repeating ourselves too often. Also store MVT::SimpleValueType in the TTI tables so they can be statically initialized, MVT's constructors create bloated initialization code otherwise. llvm-svn: 188095
2013-08-09 21:33:32 +02:00
int Idx = CostTableLookup(AVX1CostTbl, ISD, MTy);
Revert CostTable algorithm, will re-write llvm-svn: 172992
2013-01-20 21:57:20 +01:00
if (Idx != -1)
return LT.first * AVX1CostTbl[Idx].Cost;
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
}
if (ST->hasSSE42()) {
Add a overload to CostTable which allows it to infer the size of the table. Use it to avoid repeating ourselves too often. Also store MVT::SimpleValueType in the TTI tables so they can be statically initialized, MVT's constructors create bloated initialization code otherwise. llvm-svn: 188095
2013-08-09 21:33:32 +02:00
int Idx = CostTableLookup(SSE42CostTbl, ISD, MTy);
Revert CostTable algorithm, will re-write llvm-svn: 172992
2013-01-20 21:57:20 +01:00
if (Idx != -1)
return LT.first * SSE42CostTbl[Idx].Cost;
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
}
return TargetTransformInfo::getCmpSelInstrCost(Opcode, ValTy, CondTy);
}
unsigned X86TTI::getVectorInstrCost(unsigned Opcode, Type *Val,
unsigned Index) const {
assert(Val->isVectorTy() && "This must be a vector type");
if (Index != -1U) {
// Legalize the type.
std::pair<unsigned, MVT> LT = TLI->getTypeLegalizationCost(Val);
// This type is legalized to a scalar type.
if (!LT.second.isVector())
return 0;
// The type may be split. Normalize the index to the new type.
unsigned Width = LT.second.getVectorNumElements();
Index = Index % Width;
// Floating point scalars are already located in index #0.
if (Val->getScalarType()->isFloatingPointTy() && Index == 0)
return 0;
}
return TargetTransformInfo::getVectorInstrCost(Opcode, Val, Index);
}
CostModel: improve the cost model for load/store of non power-of-two types such as <3 x float>, which are popular in graphics. llvm-svn: 185085
2013-06-27 19:52:04 +02:00
unsigned X86TTI::getScalarizationOverhead(Type *Ty, bool Insert,
bool Extract) const {
assert (Ty->isVectorTy() && "Can only scalarize vectors");
unsigned Cost = 0;
for (int i = 0, e = Ty->getVectorNumElements(); i < e; ++i) {
if (Insert)
Cost += TopTTI->getVectorInstrCost(Instruction::InsertElement, Ty, i);
if (Extract)
Cost += TopTTI->getVectorInstrCost(Instruction::ExtractElement, Ty, i);
}
return Cost;
}
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
unsigned X86TTI::getMemoryOpCost(unsigned Opcode, Type *Src, unsigned Alignment,
unsigned AddressSpace) const {
Correct word hyphenations This patch tries to avoid unrelated changes other than fixing a few hyphen-related ambiguities and contractions in nearby lines. llvm-svn: 196471
2013-12-05 06:44:44 +01:00
// Handle non-power-of-two vectors such as <3 x float>
CostModel: improve the cost model for load/store of non power-of-two types such as <3 x float>, which are popular in graphics. llvm-svn: 185085
2013-06-27 19:52:04 +02:00
if (VectorType *VTy = dyn_cast<VectorType>(Src)) {
unsigned NumElem = VTy->getVectorNumElements();
// Handle a few common cases:
// <3 x float>
if (NumElem == 3 && VTy->getScalarSizeInBits() == 32)
// Cost = 64 bit store + extract + 32 bit store.
return 3;
// <3 x double>
if (NumElem == 3 && VTy->getScalarSizeInBits() == 64)
// Cost = 128 bit store + unpack + 64 bit store.
return 3;
Correct word hyphenations This patch tries to avoid unrelated changes other than fixing a few hyphen-related ambiguities and contractions in nearby lines. llvm-svn: 196471
2013-12-05 06:44:44 +01:00
// Assume that all other non-power-of-two numbers are scalarized.
CostModel: improve the cost model for load/store of non power-of-two types such as <3 x float>, which are popular in graphics. llvm-svn: 185085
2013-06-27 19:52:04 +02:00
if (!isPowerOf2_32(NumElem)) {
unsigned Cost = TargetTransformInfo::getMemoryOpCost(Opcode,
VTy->getScalarType(),
Alignment,
AddressSpace);
unsigned SplitCost = getScalarizationOverhead(Src,
Opcode == Instruction::Load,
Opcode==Instruction::Store);
return NumElem * Cost + SplitCost;
}
}
Switch TargetTransformInfo from an immutable analysis pass that requires a TargetMachine to construct (and thus isn't always available), to an analysis group that supports layered implementations much like AliasAnalysis does. This is a pretty massive change, with a few parts that I was unable to easily separate (sorry), so I'll walk through it. The first step of this conversion was to make TargetTransformInfo an analysis group, and to sink the nonce implementations in ScalarTargetTransformInfo and VectorTargetTranformInfo into a NoTargetTransformInfo pass. This allows other passes to add a hard requirement on TTI, and assume they will always get at least on implementation. The TargetTransformInfo analysis group leverages the delegation chaining trick that AliasAnalysis uses, where the base class for the analysis group delegates to the previous analysis *pass*, allowing all but tho NoFoo analysis passes to only implement the parts of the interfaces they support. It also introduces a new trick where each pass in the group retains a pointer to the top-most pass that has been initialized. This allows passes to implement one API in terms of another API and benefit when some other pass above them in the stack has more precise results for the second API. The second step of this conversion is to create a pass that implements the TargetTransformInfo analysis using the target-independent abstractions in the code generator. This replaces the ScalarTargetTransformImpl and VectorTargetTransformImpl classes in lib/Target with a single pass in lib/CodeGen called BasicTargetTransformInfo. This class actually provides most of the TTI functionality, basing it upon the TargetLowering abstraction and other information in the target independent code generator. The third step of the conversion adds support to all TargetMachines to register custom analysis passes. This allows building those passes with access to TargetLowering or other target-specific classes, and it also allows each target to customize the set of analysis passes desired in the pass manager. The baseline LLVMTargetMachine implements this interface to add the BasicTTI pass to the pass manager, and all of the tools that want to support target-aware TTI passes call this routine on whatever target machine they end up with to add the appropriate passes. The fourth step of the conversion created target-specific TTI analysis passes for the X86 and ARM backends. These passes contain the custom logic that was previously in their extensions of the ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces. I separated them into their own file, as now all of the interface bits are private and they just expose a function to create the pass itself. Then I extended these target machines to set up a custom set of analysis passes, first adding BasicTTI as a fallback, and then adding their customized TTI implementations. The fourth step required logic that was shared between the target independent layer and the specific targets to move to a different interface, as they no longer derive from each other. As a consequence, a helper functions were added to TargetLowering representing the common logic needed both in the target implementation and the codegen implementation of the TTI pass. While technically this is the only change that could have been committed separately, it would have been a nightmare to extract. The final step of the conversion was just to delete all the old boilerplate. This got rid of the ScalarTargetTransformInfo and VectorTargetTransformInfo classes, all of the support in all of the targets for producing instances of them, and all of the support in the tools for manually constructing a pass based around them. Now that TTI is a relatively normal analysis group, two things become straightforward. First, we can sink it into lib/Analysis which is a more natural layer for it to live. Second, clients of this interface can depend on it *always* being available which will simplify their code and behavior. These (and other) simplifications will follow in subsequent commits, this one is clearly big enough. Finally, I'm very aware that much of the comments and documentation needs to be updated. As soon as I had this working, and plausibly well commented, I wanted to get it committed and in front of the build bots. I'll be doing a few passes over documentation later if it sticks. Commits to update DragonEgg and Clang will be made presently. llvm-svn: 171681
2013-01-07 02:37:14 +01:00
// Legalize the type.
std::pair<unsigned, MVT> LT = TLI->getTypeLegalizationCost(Src);
assert((Opcode == Instruction::Load || Opcode == Instruction::Store) &&
"Invalid Opcode");
// Each load/store unit costs 1.
unsigned Cost = LT.first * 1;
// On Sandybridge 256bit load/stores are double pumped
// (but not on Haswell).
if (LT.second.getSizeInBits() > 128 && !ST->hasAVX2())
Cost*=2;
return Cost;
}
X86 cost model: Add cost for vectorized gather/scather radar://14351991 llvm-svn: 186189
2013-07-12 21:16:07 +02:00
unsigned X86TTI::getAddressComputationCost(Type *Ty, bool IsComplex) const {
// Address computations in vectorized code with non-consecutive addresses will
// likely result in more instructions compared to scalar code where the
// computation can more often be merged into the index mode. The resulting
// extra micro-ops can significantly decrease throughput.
unsigned NumVectorInstToHideOverhead = 10;
if (Ty->isVectorTy() && IsComplex)
return NumVectorInstToHideOverhead;
return TargetTransformInfo::getAddressComputationCost(Ty, IsComplex);
}
X86 horizontal vector reduction cost model llvm-svn: 191021
2013-09-19 19:48:48 +02:00
unsigned X86TTI::getReductionCost(unsigned Opcode, Type *ValTy,
bool IsPairwise) const {
std::pair<unsigned, MVT> LT = TLI->getTypeLegalizationCost(ValTy);
MVT MTy = LT.second;
int ISD = TLI->InstructionOpcodeToISD(Opcode);
assert(ISD && "Invalid opcode");
// We use the Intel Architecture Code Analyzer(IACA) to measure the throughput
// and make it as the cost.
static const CostTblEntry<MVT::SimpleValueType> SSE42CostTblPairWise[] = {
{ ISD::FADD, MVT::v2f64, 2 },
{ ISD::FADD, MVT::v4f32, 4 },
{ ISD::ADD, MVT::v2i64, 2 }, // The data reported by the IACA tool is "1.6".
{ ISD::ADD, MVT::v4i32, 3 }, // The data reported by the IACA tool is "3.5".
{ ISD::ADD, MVT::v8i16, 5 },
};
static const CostTblEntry<MVT::SimpleValueType> AVX1CostTblPairWise[] = {
{ ISD::FADD, MVT::v4f32, 4 },
{ ISD::FADD, MVT::v4f64, 5 },
{ ISD::FADD, MVT::v8f32, 7 },
{ ISD::ADD, MVT::v2i64, 1 }, // The data reported by the IACA tool is "1.5".
{ ISD::ADD, MVT::v4i32, 3 }, // The data reported by the IACA tool is "3.5".
{ ISD::ADD, MVT::v4i64, 5 }, // The data reported by the IACA tool is "4.8".
{ ISD::ADD, MVT::v8i16, 5 },
{ ISD::ADD, MVT::v8i32, 5 },
};
static const CostTblEntry<MVT::SimpleValueType> SSE42CostTblNoPairWise[] = {
{ ISD::FADD, MVT::v2f64, 2 },
{ ISD::FADD, MVT::v4f32, 4 },
{ ISD::ADD, MVT::v2i64, 2 }, // The data reported by the IACA tool is "1.6".
{ ISD::ADD, MVT::v4i32, 3 }, // The data reported by the IACA tool is "3.3".
{ ISD::ADD, MVT::v8i16, 4 }, // The data reported by the IACA tool is "4.3".
};
static const CostTblEntry<MVT::SimpleValueType> AVX1CostTblNoPairWise[] = {
{ ISD::FADD, MVT::v4f32, 3 },
{ ISD::FADD, MVT::v4f64, 3 },
{ ISD::FADD, MVT::v8f32, 4 },
{ ISD::ADD, MVT::v2i64, 1 }, // The data reported by the IACA tool is "1.5".
{ ISD::ADD, MVT::v4i32, 3 }, // The data reported by the IACA tool is "2.8".
{ ISD::ADD, MVT::v4i64, 3 },
{ ISD::ADD, MVT::v8i16, 4 },
{ ISD::ADD, MVT::v8i32, 5 },
};
if (IsPairwise) {
if (ST->hasAVX()) {
int Idx = CostTableLookup(AVX1CostTblPairWise, ISD, MTy);
if (Idx != -1)
return LT.first * AVX1CostTblPairWise[Idx].Cost;
}
if (ST->hasSSE42()) {
int Idx = CostTableLookup(SSE42CostTblPairWise, ISD, MTy);
if (Idx != -1)
return LT.first * SSE42CostTblPairWise[Idx].Cost;
}
} else {
if (ST->hasAVX()) {
int Idx = CostTableLookup(AVX1CostTblNoPairWise, ISD, MTy);
if (Idx != -1)
return LT.first * AVX1CostTblNoPairWise[Idx].Cost;
}
if (ST->hasSSE42()) {
int Idx = CostTableLookup(SSE42CostTblNoPairWise, ISD, MTy);
if (Idx != -1)
return LT.first * SSE42CostTblNoPairWise[Idx].Cost;
}
}
return TargetTransformInfo::getReductionCost(Opcode, ValTy, IsPairwise);
}
Revert "Revert "Add Constant Hoisting Pass" (r200034)" This reverts commit r200058 and adds the using directive for ARMTargetTransformInfo to silence two g++ overload warnings. llvm-svn: 200062
2014-01-25 03:02:55 +01:00
unsigned X86TTI::getIntImmCost(const APInt &Imm, Type *Ty) const {
assert(Ty->isIntegerTy());
unsigned BitSize = Ty->getPrimitiveSizeInBits();
if (BitSize == 0)
return ~0U;
[Constant Hoisting] Make the constant materialization cost operand dependent Extend the target hook to take also the operand index into account when calculating the cost of the constant materialization. Related to <rdar://problem/16381500> llvm-svn: 204435
2014-03-21 07:04:45 +01:00
if (Imm == 0)
return TCC_Free;
Revert "Revert "Add Constant Hoisting Pass" (r200034)" This reverts commit r200058 and adds the using directive for ARMTargetTransformInfo to silence two g++ overload warnings. llvm-svn: 200062
2014-01-25 03:02:55 +01:00
if (Imm.getBitWidth() <= 64 &&
(isInt<32>(Imm.getSExtValue()) || isUInt<32>(Imm.getZExtValue())))
return TCC_Basic;
else
return 2 * TCC_Basic;
}
[Constant Hoisting] Make the constant materialization cost operand dependent Extend the target hook to take also the operand index into account when calculating the cost of the constant materialization. Related to <rdar://problem/16381500> llvm-svn: 204435
2014-03-21 07:04:45 +01:00
unsigned X86TTI::getIntImmCost(unsigned Opcode, unsigned Idx, const APInt &Imm,
Revert "Revert "Add Constant Hoisting Pass" (r200034)" This reverts commit r200058 and adds the using directive for ARMTargetTransformInfo to silence two g++ overload warnings. llvm-svn: 200062
2014-01-25 03:02:55 +01:00
Type *Ty) const {
assert(Ty->isIntegerTy());
unsigned BitSize = Ty->getPrimitiveSizeInBits();
if (BitSize == 0)
return ~0U;
[Constant Hoisting] Make the constant materialization cost operand dependent Extend the target hook to take also the operand index into account when calculating the cost of the constant materialization. Related to <rdar://problem/16381500> llvm-svn: 204435
2014-03-21 07:04:45 +01:00
unsigned ImmIdx = ~0U;
Revert "Revert "Add Constant Hoisting Pass" (r200034)" This reverts commit r200058 and adds the using directive for ARMTargetTransformInfo to silence two g++ overload warnings. llvm-svn: 200062
2014-01-25 03:02:55 +01:00
switch (Opcode) {
[Constant Hoisting] Make the constant materialization cost operand dependent Extend the target hook to take also the operand index into account when calculating the cost of the constant materialization. Related to <rdar://problem/16381500> llvm-svn: 204435
2014-03-21 07:04:45 +01:00
default: return TCC_Free;
case Instruction::GetElementPtr:
Add comments and test case for [X86TTI] Make constant base pointers for GetElementPtr opaque (r204739). llvm-svn: 205468
2014-04-02 23:45:36 +02:00
// Always hoist the base address of a GetElementPtr. This prevents the
// creation of new constants for every base constant that gets constant
// folded with the offset.
[X86TTI] Make constant base pointers for getElementPtr opaque. If getElementPtr uses a constant as base pointer, then make the constant opaque. This prevents constant folding it with the offset. The offset can usually be encoded in the load/store instruction itself and the base address doesn't have to be rematerialized several times. llvm-svn: 204739
2014-03-25 19:01:25 +01:00
if (Idx == 0)
return 2 * TCC_Basic;
return TCC_Free;
[Constant Hoisting] Make the constant materialization cost operand dependent Extend the target hook to take also the operand index into account when calculating the cost of the constant materialization. Related to <rdar://problem/16381500> llvm-svn: 204435
2014-03-21 07:04:45 +01:00
case Instruction::Store:
ImmIdx = 0;
break;
Revert "Revert "Add Constant Hoisting Pass" (r200034)" This reverts commit r200058 and adds the using directive for ARMTargetTransformInfo to silence two g++ overload warnings. llvm-svn: 200062
2014-01-25 03:02:55 +01:00
case Instruction::Add:
case Instruction::Sub:
case Instruction::Mul:
case Instruction::UDiv:
case Instruction::SDiv:
case Instruction::URem:
case Instruction::SRem:
case Instruction::Shl:
case Instruction::LShr:
case Instruction::AShr:
case Instruction::And:
case Instruction::Or:
case Instruction::Xor:
case Instruction::ICmp:
[Constant Hoisting] Make the constant materialization cost operand dependent Extend the target hook to take also the operand index into account when calculating the cost of the constant materialization. Related to <rdar://problem/16381500> llvm-svn: 204435
2014-03-21 07:04:45 +01:00
ImmIdx = 1;
break;
Revert "Revert "Add Constant Hoisting Pass" (r200034)" This reverts commit r200058 and adds the using directive for ARMTargetTransformInfo to silence two g++ overload warnings. llvm-svn: 200062
2014-01-25 03:02:55 +01:00
case Instruction::Trunc:
case Instruction::ZExt:
case Instruction::SExt:
case Instruction::IntToPtr:
case Instruction::PtrToInt:
case Instruction::BitCast:
[Constant Hoisting] Make the constant materialization cost operand dependent Extend the target hook to take also the operand index into account when calculating the cost of the constant materialization. Related to <rdar://problem/16381500> llvm-svn: 204435
2014-03-21 07:04:45 +01:00
case Instruction::PHI:
Revert "Revert "Add Constant Hoisting Pass" (r200034)" This reverts commit r200058 and adds the using directive for ARMTargetTransformInfo to silence two g++ overload warnings. llvm-svn: 200062
2014-01-25 03:02:55 +01:00
case Instruction::Call:
case Instruction::Select:
case Instruction::Ret:
case Instruction::Load:
[Constant Hoisting] Make the constant materialization cost operand dependent Extend the target hook to take also the operand index into account when calculating the cost of the constant materialization. Related to <rdar://problem/16381500> llvm-svn: 204435
2014-03-21 07:04:45 +01:00
break;
Revert "Revert "Add Constant Hoisting Pass" (r200034)" This reverts commit r200058 and adds the using directive for ARMTargetTransformInfo to silence two g++ overload warnings. llvm-svn: 200062
2014-01-25 03:02:55 +01:00
}
[Constant Hoisting] Make the constant materialization cost operand dependent Extend the target hook to take also the operand index into account when calculating the cost of the constant materialization. Related to <rdar://problem/16381500> llvm-svn: 204435
2014-03-21 07:04:45 +01:00
if ((Idx == ImmIdx) &&
Imm.getBitWidth() <= 64 && isInt<32>(Imm.getSExtValue()))
return TCC_Free;
return X86TTI::getIntImmCost(Imm, Ty);
Revert "Revert "Add Constant Hoisting Pass" (r200034)" This reverts commit r200058 and adds the using directive for ARMTargetTransformInfo to silence two g++ overload warnings. llvm-svn: 200062
2014-01-25 03:02:55 +01:00
}
[Constant Hoisting] Make the constant materialization cost operand dependent Extend the target hook to take also the operand index into account when calculating the cost of the constant materialization. Related to <rdar://problem/16381500> llvm-svn: 204435
2014-03-21 07:04:45 +01:00
unsigned X86TTI::getIntImmCost(Intrinsic::ID IID, unsigned Idx,
const APInt &Imm, Type *Ty) const {
Revert "Revert "Add Constant Hoisting Pass" (r200034)" This reverts commit r200058 and adds the using directive for ARMTargetTransformInfo to silence two g++ overload warnings. llvm-svn: 200062
2014-01-25 03:02:55 +01:00
assert(Ty->isIntegerTy());
unsigned BitSize = Ty->getPrimitiveSizeInBits();
if (BitSize == 0)
return ~0U;
switch (IID) {
[Constant Hoisting] Make the constant materialization cost operand dependent Extend the target hook to take also the operand index into account when calculating the cost of the constant materialization. Related to <rdar://problem/16381500> llvm-svn: 204435
2014-03-21 07:04:45 +01:00
default: return TCC_Free;
Revert "Revert "Add Constant Hoisting Pass" (r200034)" This reverts commit r200058 and adds the using directive for ARMTargetTransformInfo to silence two g++ overload warnings. llvm-svn: 200062
2014-01-25 03:02:55 +01:00
case Intrinsic::sadd_with_overflow:
case Intrinsic::uadd_with_overflow:
case Intrinsic::ssub_with_overflow:
case Intrinsic::usub_with_overflow:
case Intrinsic::smul_with_overflow:
case Intrinsic::umul_with_overflow:
[Constant Hoisting] Make the constant materialization cost operand dependent Extend the target hook to take also the operand index into account when calculating the cost of the constant materialization. Related to <rdar://problem/16381500> llvm-svn: 204435
2014-03-21 07:04:45 +01:00
if ((Idx == 1) && Imm.getBitWidth() <= 64 && isInt<32>(Imm.getSExtValue()))
Revert "Revert "Add Constant Hoisting Pass" (r200034)" This reverts commit r200058 and adds the using directive for ARMTargetTransformInfo to silence two g++ overload warnings. llvm-svn: 200062
2014-01-25 03:02:55 +01:00
return TCC_Free;
[Stackmaps][X86TTI] Fix think-o in getIntImmCost calculation. The cost for the first four stackmap operands was always TCC_Free. This is only true for the first two operands. All other operands are TCC_Free if they are within 64bit. llvm-svn: 204738
2014-03-25 19:01:23 +01:00
break;
Revert "Revert "Add Constant Hoisting Pass" (r200034)" This reverts commit r200058 and adds the using directive for ARMTargetTransformInfo to silence two g++ overload warnings. llvm-svn: 200062
2014-01-25 03:02:55 +01:00
case Intrinsic::experimental_stackmap:
[Stackmaps][X86TTI] Fix think-o in getIntImmCost calculation. The cost for the first four stackmap operands was always TCC_Free. This is only true for the first two operands. All other operands are TCC_Free if they are within 64bit. llvm-svn: 204738
2014-03-25 19:01:23 +01:00
if ((Idx < 2) || (Imm.getBitWidth() <= 64 && isInt<64>(Imm.getSExtValue())))
[Constant Hoisting] Make the constant materialization cost operand dependent Extend the target hook to take also the operand index into account when calculating the cost of the constant materialization. Related to <rdar://problem/16381500> llvm-svn: 204435
2014-03-21 07:04:45 +01:00
return TCC_Free;
[Stackmaps][X86TTI] Fix think-o in getIntImmCost calculation. The cost for the first four stackmap operands was always TCC_Free. This is only true for the first two operands. All other operands are TCC_Free if they are within 64bit. llvm-svn: 204738
2014-03-25 19:01:23 +01:00
break;
Revert "Revert "Add Constant Hoisting Pass" (r200034)" This reverts commit r200058 and adds the using directive for ARMTargetTransformInfo to silence two g++ overload warnings. llvm-svn: 200062
2014-01-25 03:02:55 +01:00
case Intrinsic::experimental_patchpoint_void:
case Intrinsic::experimental_patchpoint_i64:
[Stackmaps][X86TTI] Fix think-o in getIntImmCost calculation. The cost for the first four stackmap operands was always TCC_Free. This is only true for the first two operands. All other operands are TCC_Free if they are within 64bit. llvm-svn: 204738
2014-03-25 19:01:23 +01:00
if ((Idx < 4) || (Imm.getBitWidth() <= 64 && isInt<64>(Imm.getSExtValue())))
Revert "Revert "Add Constant Hoisting Pass" (r200034)" This reverts commit r200058 and adds the using directive for ARMTargetTransformInfo to silence two g++ overload warnings. llvm-svn: 200062
2014-01-25 03:02:55 +01:00
return TCC_Free;
[Stackmaps][X86TTI] Fix think-o in getIntImmCost calculation. The cost for the first four stackmap operands was always TCC_Free. This is only true for the first two operands. All other operands are TCC_Free if they are within 64bit. llvm-svn: 204738
2014-03-25 19:01:23 +01:00
break;
Revert "Revert "Add Constant Hoisting Pass" (r200034)" This reverts commit r200058 and adds the using directive for ARMTargetTransformInfo to silence two g++ overload warnings. llvm-svn: 200062
2014-01-25 03:02:55 +01:00
}
[Stackmaps][X86TTI] Fix think-o in getIntImmCost calculation. The cost for the first four stackmap operands was always TCC_Free. This is only true for the first two operands. All other operands are TCC_Free if they are within 64bit. llvm-svn: 204738
2014-03-25 19:01:23 +01:00
return X86TTI::getIntImmCost(Imm, Ty);
Revert "Revert "Add Constant Hoisting Pass" (r200034)" This reverts commit r200058 and adds the using directive for ARMTargetTransformInfo to silence two g++ overload warnings. llvm-svn: 200062
2014-01-25 03:02:55 +01:00
}
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