1//===- AffineParallelize.cpp - Affineparallelize Pass---------------------===//
2//
3// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
4// See https://llvm.org/LICENSE.txt for license information.
5// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
6//
7//===----------------------------------------------------------------------===//
8//
9// This file implements a parallelizer for affine loop nests that is able to
10// perform inner or outer loop parallelization.
11//
12//===----------------------------------------------------------------------===//
13
14#include "mlir/Dialect/Affine/Passes.h"
15
16#include "mlir/Dialect/Affine/Analysis/AffineAnalysis.h"
17#include "mlir/Dialect/Affine/Analysis/AffineStructures.h"
18#include "mlir/Dialect/Affine/Analysis/LoopAnalysis.h"
19#include "mlir/Dialect/Affine/Analysis/Utils.h"
20#include "mlir/Dialect/Affine/IR/AffineOps.h"
21#include "mlir/Dialect/Affine/IR/AffineValueMap.h"
22#include "mlir/Dialect/Affine/LoopUtils.h"
23#include "mlir/Dialect/Affine/Passes.h.inc"
24#include "mlir/Dialect/Affine/Utils.h"
25#include "mlir/Dialect/Func/IR/FuncOps.h"
26#include "llvm/Support/Debug.h"
27#include <deque>
28
29namespace mlir {
30namespace affine {
31#define GEN_PASS_DEF_AFFINEPARALLELIZE
32#include "mlir/Dialect/Affine/Passes.h.inc"
33} // namespace affine
34} // namespace mlir
35
36#define DEBUG_TYPE "affine-parallel"
37
38using namespace mlir;
39using namespace mlir::affine;
40
41namespace {
42/// Convert all parallel affine.for op into 1-D affine.parallel op.
43struct AffineParallelize
44 : public affine::impl::AffineParallelizeBase<AffineParallelize> {
45 void runOnOperation() override;
46};
47
48/// Descriptor of a potentially parallelizable loop.
49struct ParallelizationCandidate {
50 ParallelizationCandidate(AffineForOp l, SmallVector<LoopReduction> &&r)
51 : loop(l), reductions(std::move(r)) {}
52
53 /// The potentially parallelizable loop.
54 AffineForOp loop;
55 /// Desciprtors of reductions that can be parallelized in the loop.
56 SmallVector<LoopReduction> reductions;
57};
58} // namespace
59
60void AffineParallelize::runOnOperation() {
61 func::FuncOp f = getOperation();
62
63 // The walker proceeds in pre-order to process the outer loops first
64 // and control the number of outer parallel loops.
65 std::vector<ParallelizationCandidate> parallelizableLoops;
66 f.walk<WalkOrder::PreOrder>([&](AffineForOp loop) {
67 SmallVector<LoopReduction> reductions;
68 if (isLoopParallel(loop, parallelReductions ? &reductions : nullptr))
69 parallelizableLoops.emplace_back(loop, std::move(reductions));
70 });
71
72 for (const ParallelizationCandidate &candidate : parallelizableLoops) {
73 unsigned numParentParallelOps = 0;
74 AffineForOp loop = candidate.loop;
75 for (Operation *op = loop->getParentOp();
76 op != nullptr && !op->hasTrait<OpTrait::AffineScope>();
77 op = op->getParentOp()) {
78 if (isa<AffineParallelOp>(Val: op))
79 ++numParentParallelOps;
80 }
81
82 if (numParentParallelOps < maxNested) {
83 if (failed(affineParallelize(loop, candidate.reductions))) {
84 LLVM_DEBUG(llvm::dbgs() << "[" DEBUG_TYPE "] failed to parallelize\n"
85 << loop);
86 }
87 } else {
88 LLVM_DEBUG(llvm::dbgs() << "[" DEBUG_TYPE "] too many nested loops\n"
89 << loop);
90 }
91 }
92}
93
94std::unique_ptr<OperationPass<func::FuncOp>>
95mlir::affine::createAffineParallelizePass() {
96 return std::make_unique<AffineParallelize>();
97}
98

source code of mlir/lib/Dialect/Affine/Transforms/AffineParallelize.cpp