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c92524272b
Identified with llvm-header-guard.
204 lines
7.7 KiB
C++
204 lines
7.7 KiB
C++
//===- llvm/Analysis/DependenceGraphBuilder.h -------------------*- C++ -*-===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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//
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// This file defines a builder interface that can be used to populate dependence
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// graphs such as DDG and PDG.
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//
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//===----------------------------------------------------------------------===//
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#ifndef LLVM_ANALYSIS_DEPENDENCEGRAPHBUILDER_H
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#define LLVM_ANALYSIS_DEPENDENCEGRAPHBUILDER_H
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#include "llvm/ADT/DenseMap.h"
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#include "llvm/ADT/EquivalenceClasses.h"
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#include "llvm/ADT/SmallVector.h"
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namespace llvm {
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class BasicBlock;
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class DependenceInfo;
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class Instruction;
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/// This abstract builder class defines a set of high-level steps for creating
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/// DDG-like graphs. The client code is expected to inherit from this class and
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/// define concrete implementation for each of the pure virtual functions used
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/// in the high-level algorithm.
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template <class GraphType> class AbstractDependenceGraphBuilder {
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protected:
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using BasicBlockListType = SmallVectorImpl<BasicBlock *>;
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private:
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using NodeType = typename GraphType::NodeType;
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using EdgeType = typename GraphType::EdgeType;
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public:
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using ClassesType = EquivalenceClasses<BasicBlock *>;
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using NodeListType = SmallVector<NodeType *, 4>;
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AbstractDependenceGraphBuilder(GraphType &G, DependenceInfo &D,
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const BasicBlockListType &BBs)
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: Graph(G), DI(D), BBList(BBs) {}
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virtual ~AbstractDependenceGraphBuilder() {}
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/// The main entry to the graph construction algorithm. It starts by
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/// creating nodes in increasing order of granularity and then
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/// adds def-use and memory edges. As one of the final stages, it
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/// also creates pi-block nodes to facilitate codegen in transformations
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/// that use dependence graphs.
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///
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/// The algorithmic complexity of this implementation is O(V^2 * I^2), where V
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/// is the number of vertecies (nodes) and I is the number of instructions in
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/// each node. The total number of instructions, N, is equal to V * I,
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/// therefore the worst-case time complexity is O(N^2). The average time
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/// complexity is O((N^2)/2).
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void populate() {
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computeInstructionOrdinals();
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createFineGrainedNodes();
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createDefUseEdges();
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createMemoryDependencyEdges();
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simplify();
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createAndConnectRootNode();
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createPiBlocks();
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sortNodesTopologically();
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}
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/// Compute ordinal numbers for each instruction and store them in a map for
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/// future look up. These ordinals are used to compute node ordinals which are
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/// in turn used to order nodes that are part of a cycle.
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/// Instruction ordinals are assigned based on lexical program order.
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void computeInstructionOrdinals();
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/// Create fine grained nodes. These are typically atomic nodes that
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/// consist of a single instruction.
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void createFineGrainedNodes();
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/// Analyze the def-use chains and create edges from the nodes containing
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/// definitions to the nodes containing the uses.
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void createDefUseEdges();
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/// Analyze data dependencies that exist between memory loads or stores,
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/// in the graph nodes and create edges between them.
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void createMemoryDependencyEdges();
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/// Create a root node and add edges such that each node in the graph is
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/// reachable from the root.
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void createAndConnectRootNode();
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/// Apply graph abstraction to groups of nodes that belong to a strongly
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/// connected component of the graph to create larger compound nodes
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/// called pi-blocks. The purpose of this abstraction is to isolate sets of
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/// program elements that need to stay together during codegen and turn
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/// the dependence graph into an acyclic graph.
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void createPiBlocks();
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/// Go through all the nodes in the graph and collapse any two nodes
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/// 'a' and 'b' if all of the following are true:
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/// - the only edge from 'a' is a def-use edge to 'b' and
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/// - the only edge to 'b' is a def-use edge from 'a' and
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/// - there is no cyclic edge from 'b' to 'a' and
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/// - all instructions in 'a' and 'b' belong to the same basic block and
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/// - both 'a' and 'b' are simple (single or multi instruction) nodes.
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void simplify();
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/// Topologically sort the graph nodes.
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void sortNodesTopologically();
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protected:
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/// Create the root node of the graph.
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virtual NodeType &createRootNode() = 0;
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/// Create an atomic node in the graph given a single instruction.
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virtual NodeType &createFineGrainedNode(Instruction &I) = 0;
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/// Create a pi-block node in the graph representing a group of nodes in an
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/// SCC of the graph.
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virtual NodeType &createPiBlock(const NodeListType &L) = 0;
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/// Create a def-use edge going from \p Src to \p Tgt.
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virtual EdgeType &createDefUseEdge(NodeType &Src, NodeType &Tgt) = 0;
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/// Create a memory dependence edge going from \p Src to \p Tgt.
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virtual EdgeType &createMemoryEdge(NodeType &Src, NodeType &Tgt) = 0;
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/// Create a rooted edge going from \p Src to \p Tgt .
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virtual EdgeType &createRootedEdge(NodeType &Src, NodeType &Tgt) = 0;
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/// Given a pi-block node, return a vector of all the nodes contained within
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/// it.
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virtual const NodeListType &getNodesInPiBlock(const NodeType &N) = 0;
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/// Deallocate memory of edge \p E.
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virtual void destroyEdge(EdgeType &E) { delete &E; }
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/// Deallocate memory of node \p N.
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virtual void destroyNode(NodeType &N) { delete &N; }
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/// Return true if creation of pi-blocks are supported and desired,
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/// and false otherwise.
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virtual bool shouldCreatePiBlocks() const { return true; }
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/// Return true if graph simplification step is requested, and false
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/// otherwise.
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virtual bool shouldSimplify() const { return true; }
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/// Return true if it's safe to merge the two nodes.
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virtual bool areNodesMergeable(const NodeType &A,
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const NodeType &B) const = 0;
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/// Append the content of node \p B into node \p A and remove \p B and
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/// the edge between \p A and \p B from the graph.
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virtual void mergeNodes(NodeType &A, NodeType &B) = 0;
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/// Given an instruction \p I return its associated ordinal number.
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size_t getOrdinal(Instruction &I) {
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assert(InstOrdinalMap.find(&I) != InstOrdinalMap.end() &&
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"No ordinal computed for this instruction.");
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return InstOrdinalMap[&I];
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}
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/// Given a node \p N return its associated ordinal number.
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size_t getOrdinal(NodeType &N) {
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assert(NodeOrdinalMap.find(&N) != NodeOrdinalMap.end() &&
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"No ordinal computed for this node.");
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return NodeOrdinalMap[&N];
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}
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/// Map types to map instructions to nodes used when populating the graph.
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using InstToNodeMap = DenseMap<Instruction *, NodeType *>;
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/// Map Types to map instruction/nodes to an ordinal number.
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using InstToOrdinalMap = DenseMap<Instruction *, size_t>;
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using NodeToOrdinalMap = DenseMap<NodeType *, size_t>;
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/// Reference to the graph that gets built by a concrete implementation of
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/// this builder.
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GraphType &Graph;
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/// Dependence information used to create memory dependence edges in the
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/// graph.
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DependenceInfo &DI;
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/// The list of basic blocks to consider when building the graph.
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const BasicBlockListType &BBList;
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/// A mapping from instructions to the corresponding nodes in the graph.
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InstToNodeMap IMap;
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/// A mapping from each instruction to an ordinal number. This map is used to
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/// populate the \p NodeOrdinalMap.
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InstToOrdinalMap InstOrdinalMap;
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/// A mapping from nodes to an ordinal number. This map is used to sort nodes
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/// in a pi-block based on program order.
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NodeToOrdinalMap NodeOrdinalMap;
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};
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} // namespace llvm
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#endif // LLVM_ANALYSIS_DEPENDENCEGRAPHBUILDER_H
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