Data Dependence Graph Basics
Summary:
This is the first patch in a series of patches that will implement data dependence graph in LLVM. Many of the ideas used in this implementation are based on the following paper:
D. J. Kuck, R. H. Kuhn, D. A. Padua, B. Leasure, and M. Wolfe (1981). DEPENDENCE GRAPHS AND COMPILER OPTIMIZATIONS.
This patch contains support for a basic DDGs containing only atomic nodes (one node for each instruction). The edges are two fold: def-use edges and memory-dependence edges.
The implementation takes a list of basic-blocks and only considers dependencies among instructions in those basic blocks. Any dependencies coming into or going out of instructions that do not belong to those basic blocks are ignored.
The algorithm for building the graph involves the following steps in order:
1. For each instruction in the range of basic blocks to consider, create an atomic node in the resulting graph.
2. For each node in the graph establish def-use edges to/from other nodes in the graph.
3. For each pair of nodes containing memory instruction(s) create memory edges between them. This part of the algorithm goes through the instructions in lexicographical order and creates edges in reverse order if the sink of the dependence occurs before the source of it.
Authored By: bmahjour
Reviewer: Meinersbur, fhahn, myhsu, xtian, dmgreen, kbarton, jdoerfert
Reviewed By: Meinersbur, fhahn, myhsu
Subscribers: ychen, arphaman, simoll, a.elovikov, mgorny, hiraditya, jfb, wuzish, llvm-commits, jsji, Whitney, etiotto
Tag: #llvm
Differential Revision: https://reviews.llvm.org/D65350
llvm-svn: 372238
2019-09-19 01:43:45 +08:00
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//===- DependenceGraphBuilder.cpp ------------------------------------------==//
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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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// This file implements common steps of the build algorithm for construction
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// of dependence graphs such as DDG and PDG.
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//===----------------------------------------------------------------------===//
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#include "llvm/Analysis/DependenceGraphBuilder.h"
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#include "llvm/ADT/SCCIterator.h"
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#include "llvm/ADT/Statistic.h"
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#include "llvm/Analysis/DDG.h"
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using namespace llvm;
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#define DEBUG_TYPE "dgb"
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STATISTIC(TotalGraphs, "Number of dependence graphs created.");
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STATISTIC(TotalDefUseEdges, "Number of def-use edges created.");
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STATISTIC(TotalMemoryEdges, "Number of memory dependence edges created.");
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STATISTIC(TotalFineGrainedNodes, "Number of fine-grained nodes created.");
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STATISTIC(TotalConfusedEdges,
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"Number of confused memory dependencies between two nodes.");
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STATISTIC(TotalEdgeReversals,
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"Number of times the source and sink of dependence was reversed to "
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"expose cycles in the graph.");
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using InstructionListType = SmallVector<Instruction *, 2>;
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//===--------------------------------------------------------------------===//
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// AbstractDependenceGraphBuilder implementation
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//===--------------------------------------------------------------------===//
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template <class G>
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void AbstractDependenceGraphBuilder<G>::createFineGrainedNodes() {
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++TotalGraphs;
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assert(IMap.empty() && "Expected empty instruction map at start");
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for (BasicBlock *BB : BBList)
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for (Instruction &I : *BB) {
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auto &NewNode = createFineGrainedNode(I);
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IMap.insert(std::make_pair(&I, &NewNode));
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++TotalFineGrainedNodes;
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}
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}
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[DDG] Data Dependence Graph - Root Node
Summary:
This patch adds Root Node to the DDG. The purpose of the root node is to create a single entry node that allows graph walk iterators to iterate through all nodes of the graph, making sure that no node is left unvisited during a graph walk (eg. SCC or DFS). Once the DDG is fully constructed it will have exactly one root node. Every node in the graph is reachable from the root. The algorithm for connecting the root node is based on depth-first-search that keeps track of visited nodes to try to avoid creating unnecessary edges.
Authored By: bmahjour
Reviewer: Meinersbur, fhahn, myhsu, xtian, dmgreen, kbarton, jdoerfert
Reviewed By: Meinersbur
Subscribers: ychen, arphaman, simoll, a.elovikov, mgorny, hiraditya, jfb, wuzish, llvm-commits, jsji, Whitney, etiotto, ppc-slack
Tag: #llvm
Differential Revision: https://reviews.llvm.org/D67970
llvm-svn: 373386
2019-10-02 03:32:42 +08:00
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template <class G>
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void AbstractDependenceGraphBuilder<G>::createAndConnectRootNode() {
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// Create a root node that connects to every connected component of the graph.
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// This is done to allow graph iterators to visit all the disjoint components
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// of the graph, in a single walk.
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//
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// This algorithm works by going through each node of the graph and for each
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// node N, do a DFS starting from N. A rooted edge is established between the
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// root node and N (if N is not yet visited). All the nodes reachable from N
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// are marked as visited and are skipped in the DFS of subsequent nodes.
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//
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// Note: This algorithm tries to limit the number of edges out of the root
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// node to some extent, but there may be redundant edges created depending on
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// the iteration order. For example for a graph {A -> B}, an edge from the
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// root node is added to both nodes if B is visited before A. While it does
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// not result in minimal number of edges, this approach saves compile-time
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// while keeping the number of edges in check.
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auto &RootNode = createRootNode();
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df_iterator_default_set<const NodeType *, 4> Visited;
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for (auto *N : Graph) {
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if (*N == RootNode)
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continue;
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for (auto I : depth_first_ext(N, Visited))
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if (I == N)
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createRootedEdge(RootNode, *N);
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}
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}
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Data Dependence Graph Basics
Summary:
This is the first patch in a series of patches that will implement data dependence graph in LLVM. Many of the ideas used in this implementation are based on the following paper:
D. J. Kuck, R. H. Kuhn, D. A. Padua, B. Leasure, and M. Wolfe (1981). DEPENDENCE GRAPHS AND COMPILER OPTIMIZATIONS.
This patch contains support for a basic DDGs containing only atomic nodes (one node for each instruction). The edges are two fold: def-use edges and memory-dependence edges.
The implementation takes a list of basic-blocks and only considers dependencies among instructions in those basic blocks. Any dependencies coming into or going out of instructions that do not belong to those basic blocks are ignored.
The algorithm for building the graph involves the following steps in order:
1. For each instruction in the range of basic blocks to consider, create an atomic node in the resulting graph.
2. For each node in the graph establish def-use edges to/from other nodes in the graph.
3. For each pair of nodes containing memory instruction(s) create memory edges between them. This part of the algorithm goes through the instructions in lexicographical order and creates edges in reverse order if the sink of the dependence occurs before the source of it.
Authored By: bmahjour
Reviewer: Meinersbur, fhahn, myhsu, xtian, dmgreen, kbarton, jdoerfert
Reviewed By: Meinersbur, fhahn, myhsu
Subscribers: ychen, arphaman, simoll, a.elovikov, mgorny, hiraditya, jfb, wuzish, llvm-commits, jsji, Whitney, etiotto
Tag: #llvm
Differential Revision: https://reviews.llvm.org/D65350
llvm-svn: 372238
2019-09-19 01:43:45 +08:00
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template <class G> void AbstractDependenceGraphBuilder<G>::createDefUseEdges() {
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for (NodeType *N : Graph) {
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InstructionListType SrcIList;
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N->collectInstructions([](const Instruction *I) { return true; }, SrcIList);
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// Use a set to mark the targets that we link to N, so we don't add
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// duplicate def-use edges when more than one instruction in a target node
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// use results of instructions that are contained in N.
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SmallPtrSet<NodeType *, 4> VisitedTargets;
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for (Instruction *II : SrcIList) {
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for (User *U : II->users()) {
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Instruction *UI = dyn_cast<Instruction>(U);
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if (!UI)
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continue;
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NodeType *DstNode = nullptr;
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if (IMap.find(UI) != IMap.end())
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DstNode = IMap.find(UI)->second;
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// In the case of loops, the scope of the subgraph is all the
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// basic blocks (and instructions within them) belonging to the loop. We
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// simply ignore all the edges coming from (or going into) instructions
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// or basic blocks outside of this range.
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if (!DstNode) {
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LLVM_DEBUG(
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dbgs()
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<< "skipped def-use edge since the sink" << *UI
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<< " is outside the range of instructions being considered.\n");
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continue;
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}
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// Self dependencies are ignored because they are redundant and
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// uninteresting.
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if (DstNode == N) {
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LLVM_DEBUG(dbgs()
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<< "skipped def-use edge since the sink and the source ("
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<< N << ") are the same.\n");
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continue;
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}
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if (VisitedTargets.insert(DstNode).second) {
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createDefUseEdge(*N, *DstNode);
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++TotalDefUseEdges;
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}
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}
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}
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}
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}
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template <class G>
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void AbstractDependenceGraphBuilder<G>::createMemoryDependencyEdges() {
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using DGIterator = typename G::iterator;
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auto isMemoryAccess = [](const Instruction *I) {
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return I->mayReadOrWriteMemory();
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};
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for (DGIterator SrcIt = Graph.begin(), E = Graph.end(); SrcIt != E; ++SrcIt) {
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InstructionListType SrcIList;
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(*SrcIt)->collectInstructions(isMemoryAccess, SrcIList);
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if (SrcIList.empty())
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continue;
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for (DGIterator DstIt = SrcIt; DstIt != E; ++DstIt) {
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if (**SrcIt == **DstIt)
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continue;
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InstructionListType DstIList;
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(*DstIt)->collectInstructions(isMemoryAccess, DstIList);
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if (DstIList.empty())
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continue;
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bool ForwardEdgeCreated = false;
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bool BackwardEdgeCreated = false;
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for (Instruction *ISrc : SrcIList) {
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for (Instruction *IDst : DstIList) {
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auto D = DI.depends(ISrc, IDst, true);
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if (!D)
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continue;
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// If we have a dependence with its left-most non-'=' direction
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// being '>' we need to reverse the direction of the edge, because
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// the source of the dependence cannot occur after the sink. For
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// confused dependencies, we will create edges in both directions to
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// represent the possibility of a cycle.
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auto createConfusedEdges = [&](NodeType &Src, NodeType &Dst) {
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if (!ForwardEdgeCreated) {
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createMemoryEdge(Src, Dst);
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++TotalMemoryEdges;
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}
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if (!BackwardEdgeCreated) {
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createMemoryEdge(Dst, Src);
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++TotalMemoryEdges;
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}
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ForwardEdgeCreated = BackwardEdgeCreated = true;
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++TotalConfusedEdges;
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};
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auto createForwardEdge = [&](NodeType &Src, NodeType &Dst) {
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if (!ForwardEdgeCreated) {
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createMemoryEdge(Src, Dst);
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++TotalMemoryEdges;
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}
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ForwardEdgeCreated = true;
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};
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auto createBackwardEdge = [&](NodeType &Src, NodeType &Dst) {
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if (!BackwardEdgeCreated) {
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createMemoryEdge(Dst, Src);
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++TotalMemoryEdges;
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}
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BackwardEdgeCreated = true;
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};
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if (D->isConfused())
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createConfusedEdges(**SrcIt, **DstIt);
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else if (D->isOrdered() && !D->isLoopIndependent()) {
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bool ReversedEdge = false;
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for (unsigned Level = 1; Level <= D->getLevels(); ++Level) {
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if (D->getDirection(Level) == Dependence::DVEntry::EQ)
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continue;
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else if (D->getDirection(Level) == Dependence::DVEntry::GT) {
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createBackwardEdge(**SrcIt, **DstIt);
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ReversedEdge = true;
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++TotalEdgeReversals;
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break;
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} else if (D->getDirection(Level) == Dependence::DVEntry::LT)
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break;
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else {
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createConfusedEdges(**SrcIt, **DstIt);
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break;
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}
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}
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if (!ReversedEdge)
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createForwardEdge(**SrcIt, **DstIt);
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} else
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createForwardEdge(**SrcIt, **DstIt);
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// Avoid creating duplicate edges.
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if (ForwardEdgeCreated && BackwardEdgeCreated)
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break;
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}
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// If we've created edges in both directions, there is no more
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// unique edge that we can create between these two nodes, so we
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// can exit early.
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if (ForwardEdgeCreated && BackwardEdgeCreated)
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break;
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}
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}
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}
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}
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template class llvm::AbstractDependenceGraphBuilder<DataDependenceGraph>;
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template class llvm::DependenceGraphInfo<DDGNode>;
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