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1//===- MemoryPromotion.cpp - Utilities for moving data across GPU memories ===//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-exception6//7//===----------------------------------------------------------------------===//8//9// This file implements utilities that allow one to create IR moving the data10// across different levels of the GPU memory hierarchy.11//12//===----------------------------------------------------------------------===//13 14#include "mlir/Dialect/GPU/Transforms/MemoryPromotion.h"15 16#include "mlir/Dialect/Affine/LoopUtils.h"17#include "mlir/Dialect/Arith/IR/Arith.h"18#include "mlir/Dialect/GPU/IR/GPUDialect.h"19#include "mlir/Dialect/MemRef/IR/MemRef.h"20#include "mlir/Dialect/SCF/IR/SCF.h"21 22using namespace mlir;23using namespace mlir::gpu;24 25/// Emits the (imperfect) loop nest performing the copy between "from" and "to"26/// values using the bounds derived from the "from" value. Emits at least27/// GPUDialect::getNumWorkgroupDimensions() loops, completing the nest with28/// single-iteration loops. Maps the innermost loops to thread dimensions, in29/// reverse order to enable access coalescing in the innermost loop.30static void insertCopyLoops(ImplicitLocOpBuilder &b, Value from, Value to) {31  auto memRefType = cast<MemRefType>(from.getType());32  auto rank = memRefType.getRank();33 34  SmallVector<Value, 4> lbs, ubs, steps;35  Value zero = arith::ConstantIndexOp::create(b, 0);36  Value one = arith::ConstantIndexOp::create(b, 1);37 38  // Make sure we have enough loops to use all thread dimensions, these trivial39  // loops should be outermost and therefore inserted first.40  if (rank < GPUDialect::getNumWorkgroupDimensions()) {41    unsigned extraLoops = GPUDialect::getNumWorkgroupDimensions() - rank;42    lbs.resize(extraLoops, zero);43    ubs.resize(extraLoops, one);44    steps.resize(extraLoops, one);45  }46 47  // Add existing bounds.48  lbs.append(rank, zero);49  ubs.reserve(lbs.size());50  steps.reserve(lbs.size());51  for (auto idx = 0; idx < rank; ++idx) {52    ubs.push_back(b.createOrFold<memref::DimOp>(from, idx));53    steps.push_back(one);54  }55 56  // Obtain thread identifiers and block sizes, necessary to map to them.57  auto indexType = b.getIndexType();58  SmallVector<Value, 3> threadIds, blockDims;59  for (auto dim : {gpu::Dimension::x, gpu::Dimension::y, gpu::Dimension::z}) {60    threadIds.push_back(gpu::ThreadIdOp::create(b, indexType, dim));61    blockDims.push_back(gpu::BlockDimOp::create(b, indexType, dim));62  }63 64  // Produce the loop nest with copies.65  SmallVector<Value, 8> ivs(lbs.size());66  mlir::scf::buildLoopNest(67      b, b.getLoc(), lbs, ubs, steps,68      [&](OpBuilder &b, Location loc, ValueRange loopIvs) {69        ivs.assign(loopIvs.begin(), loopIvs.end());70        auto activeIvs = llvm::ArrayRef(ivs).take_back(rank);71        Value loaded = memref::LoadOp::create(b, loc, from, activeIvs);72        memref::StoreOp::create(b, loc, loaded, to, activeIvs);73      });74 75  // Map the innermost loops to threads in reverse order.76  for (const auto &en :77       llvm::enumerate(llvm::reverse(llvm::ArrayRef(ivs).take_back(78           GPUDialect::getNumWorkgroupDimensions())))) {79    Value v = en.value();80    auto loop = cast<scf::ForOp>(v.getParentRegion()->getParentOp());81    affine::mapLoopToProcessorIds(loop, {threadIds[en.index()]},82                                  {blockDims[en.index()]});83  }84}85 86/// Emits the loop nests performing the copy to the designated location in the87/// beginning of the region, and from the designated location immediately before88/// the terminator of the first block of the region. The region is expected to89/// have one block. This boils down to the following structure90///91///   ^bb(...):92///     <loop-bound-computation>93///     for %arg0 = ... to ... step ... {94///       ...95///         for %argN = <thread-id-x> to ... step <block-dim-x> {96///           %0 = load %from[%arg0, ..., %argN]97///           store %0, %to[%arg0, ..., %argN]98///         }99///       ...100///     }101///     gpu.barrier102///     <... original body ...>103///     gpu.barrier104///     for %arg0 = ... to ... step ... {105///       ...106///         for %argN = <thread-id-x> to ... step <block-dim-x> {107///           %1 = load %to[%arg0, ..., %argN]108///           store %1, %from[%arg0, ..., %argN]109///         }110///       ...111///     }112///113/// Inserts the barriers unconditionally since different threads may be copying114/// values and reading them. An analysis would be required to eliminate barriers115/// in case where value is only used by the thread that copies it. Both copies116/// are inserted unconditionally, an analysis would be required to only copy117/// live-in and live-out values when necessary. This copies the entire memref118/// pointed to by "from". In case a smaller block would be sufficient, the119/// caller can create a subview of the memref and promote it instead.120static void insertCopies(Region &region, Location loc, Value from, Value to) {121  auto fromType = cast<MemRefType>(from.getType());122  auto toType = cast<MemRefType>(to.getType());123  (void)fromType;124  (void)toType;125  assert(fromType.getShape() == toType.getShape());126  assert(fromType.getRank() != 0);127  assert(region.hasOneBlock() && "unstructured control flow not supported");128 129  auto b = ImplicitLocOpBuilder::atBlockBegin(loc, &region.front());130  insertCopyLoops(b, from, to);131  gpu::BarrierOp::create(b);132 133  b.setInsertionPoint(&region.front().back());134  gpu::BarrierOp::create(b);135  insertCopyLoops(b, to, from);136}137 138/// Promotes a function argument to workgroup memory in the given function. The139/// copies will be inserted in the beginning and in the end of the function.140void mlir::promoteToWorkgroupMemory(GPUFuncOp op, unsigned arg) {141  Value value = op.getArgument(arg);142  auto type = dyn_cast<MemRefType>(value.getType());143  assert(type && type.hasStaticShape() && "can only promote memrefs");144 145  // Get the type of the buffer in the workgroup memory.146  auto workgroupMemoryAddressSpace = gpu::AddressSpaceAttr::get(147      op->getContext(), gpu::AddressSpace::Workgroup);148  auto bufferType = MemRefType::get(type.getShape(), type.getElementType(),149                                    MemRefLayoutAttrInterface{},150                                    Attribute(workgroupMemoryAddressSpace));151  Value attribution = op.addWorkgroupAttribution(bufferType, value.getLoc());152 153  // Replace the uses first since only the original uses are currently present.154  // Then insert the copies.155  value.replaceAllUsesWith(attribution);156  insertCopies(op.getBody(), op.getLoc(), value, attribution);157}158