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Fix a few spellos in docs.
(Trying to debug an incremental build thing on a bot...) llvm-svn: 371860
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@ -132,10 +132,10 @@ the performance of the generated binaries.
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In addition to PGO profiling we also have limited support in-tree for generating
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linker order files. These files provide the linker with a suggested ordering for
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functions in the final binary layout. This can measurably speed up clang by
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physically grouping functions that are called temporally close to eachother. The
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current tooling is only available on Darwin systems with ``dtrace(1)``. It is
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worth noting that dtrace is non-deterministic, and so the order file generation
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using dtrace is also non-deterministic.
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physically grouping functions that are called temporally close to each other.
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The current tooling is only available on Darwin systems with ``dtrace(1)``. It
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is worth noting that dtrace is non-deterministic, and so the order file
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generation using dtrace is also non-deterministic.
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Options for Reducing Size
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=========================
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@ -34,7 +34,7 @@ a, A
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b, B
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Unitialized data (bss) object.
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Uninitialized data (bss) object.
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C
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@ -90,7 +90,7 @@ V
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ELF: Defined weak object symbol. This definition will only be used if no
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regular definitions exist in a link. If multiple weak definitions and no
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regular definitons exist, one of the weak definitions will be used.
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regular definitions exist, one of the weak definitions will be used.
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w
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@ -101,7 +101,7 @@ W
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Defined weak symbol other than an ELF object symbol. This definition will only
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be used if no regular definitions exist in a link. If multiple weak definitions
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and no regular definitons exist, one of the weak definitions will be used.
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and no regular definitions exist, one of the weak definitions will be used.
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\-
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@ -3521,7 +3521,7 @@ resulting assembly string is parsed by LLVM's integrated assembler unless it is
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disabled -- even when emitting a ``.s`` file -- and thus must contain assembly
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syntax known to LLVM.
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LLVM also supports a few more substitions useful for writing inline assembly:
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LLVM also supports a few more substitutions useful for writing inline assembly:
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- ``${:uid}``: Expands to a decimal integer unique to this inline assembly blob.
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This substitution is useful when declaring a local label. Many standard
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@ -6518,7 +6518,7 @@ Where each VFuncId has the format:
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vFuncId: (TypeIdRef, offset: 16)
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Where each ``TypeIdRef`` refers to a :ref:`type id<typeid_summary>`
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by summary id or ``GUID`` preceeded by a ``guid:`` tag.
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by summary id or ``GUID`` preceded by a ``guid:`` tag.
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TypeCheckedLoadVCalls
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"""""""""""""""""""""
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@ -11364,7 +11364,7 @@ privileges.
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The default behavior is to emit a call to ``__clear_cache`` from the run
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time library.
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This instrinsic does *not* empty the instruction pipeline. Modifications
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This intrinsic does *not* empty the instruction pipeline. Modifications
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of the current function are outside the scope of the intrinsic.
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'``llvm.instrprof.increment``' Intrinsic
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@ -11439,7 +11439,7 @@ The last argument specifies the value of the increment of the counter variable.
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Semantics:
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""""""""""
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See description of '``llvm.instrprof.increment``' instrinsic.
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See description of '``llvm.instrprof.increment``' intrinsic.
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'``llvm.instrprof.value.profile``' Intrinsic
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@ -10,7 +10,7 @@ Introduction
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This document aims to provide a high-level overview of the design and
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implementation of the ORC JIT APIs. Except where otherwise stated, all
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discussion applies to the design of the APIs as of LLVM verison 9 (ORCv2).
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discussion applies to the design of the APIs as of LLVM version 9 (ORCv2).
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Use-cases
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=========
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@ -19,7 +19,7 @@ ORC provides a modular API for building JIT compilers. There are a range
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of use cases for such an API. For example:
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1. The LLVM tutorials use a simple ORC-based JIT class to execute expressions
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compiled from a toy languge: Kaleidoscope.
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compiled from a toy language: Kaleidoscope.
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2. The LLVM debugger, LLDB, uses a cross-compiling JIT for expression
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evaluation. In this use case, cross compilation allows expressions compiled
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@ -31,7 +31,7 @@ optimizations within an existing JIT infrastructure.
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4. In interpreters and REPLs, e.g. Cling (C++) and the Swift interpreter.
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By adoping a modular, library-based design we aim to make ORC useful in as many
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By adopting a modular, library-based design we aim to make ORC useful in as many
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of these contexts as possible.
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Features
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@ -237,7 +237,7 @@ but they may also wrap a jit-linker directly (if the program representation
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backing the definitions is an object file), or may even be a class that writes
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bits directly into memory (for example, if the definitions are
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stubs). Materialization is the blanket term for any actions (compiling, linking,
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splatting bits, registering with runtimes, etc.) that are requried to generate a
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splatting bits, registering with runtimes, etc.) that are required to generate a
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symbol definition that is safe to call or access.
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As each materializer completes its work it notifies the JITDylib, which in turn
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@ -495,7 +495,7 @@ or creating any Modules attached to it. E.g.
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TP.wait();
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To make exclusive access to Modules easier to manage the ThreadSafeModule class
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provides a convenince function, ``withModuleDo``, that implicitly (1) locks the
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provides a convenience function, ``withModuleDo``, that implicitly (1) locks the
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associated context, (2) runs a given function object, (3) unlocks the context,
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and (3) returns the result generated by the function object. E.g.
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@ -104,7 +104,7 @@ write your new modified bitfield to FPM2, and vice versa. Only when you commit
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the file to disk do you need to swap the value in the SuperBlock to point to
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the new ``FreeBlockMapBlock``.
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The Free Block Maps are stored as a series of single blocks thoughout the file
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The Free Block Maps are stored as a series of single blocks throughout the file
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at intervals of BlockSize. Because each FPM block is of size ``BlockSize``
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bytes, it contains 8 times as many bits as an interval has blocks. This means
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that the first block of each FPM refers to the first 8 intervals of the file
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@ -511,7 +511,7 @@ Once we have the predicate accumulated into a special value for correct vs.
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misspeculated, we need to apply this to loads in a way that ensures they do not
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leak secret data. There are two primary techniques for this: we can either
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harden the loaded value to prevent observation, or we can harden the address
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itself to prevent the load from occuring. These have significantly different
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itself to prevent the load from occurring. These have significantly different
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performance tradeoffs.
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@ -942,7 +942,7 @@ We can use this broader barrier to speculative loads executing between
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functions. We emit it in the entry block to handle calls, and prior to each
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return. This approach also has the advantage of providing the strongest degree
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of mitigation when mixed with unmitigated code by halting all misspeculation
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entering a function which is mitigated, regardless of what occured in the
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entering a function which is mitigated, regardless of what occurred in the
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caller. However, such a mixture is inherently more risky. Whether this kind of
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mixture is a sufficient mitigation requires careful analysis.
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@ -318,7 +318,7 @@ look like this:
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TheJIT->removeModule(H);
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}
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If parsing and codegen succeeed, the next step is to add the module containing
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If parsing and codegen succeed, the next step is to add the module containing
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the top-level expression to the JIT. We do this by calling addModule, which
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triggers code generation for all the functions in the module, and returns a
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handle that can be used to remove the module from the JIT later. Once the module
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@ -520,7 +520,7 @@ Here is the code after the mem2reg pass runs:
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This is a trivial case for mem2reg, since there are no redefinitions of
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the variable. The point of showing this is to calm your tension about
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inserting such blatent inefficiencies :).
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inserting such blatant inefficiencies :).
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After the rest of the optimizers run, we get:
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