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