forked from OSchip/llvm-project
417 lines
14 KiB
C++
417 lines
14 KiB
C++
//===- Schedule.cpp - Calculate an optimized schedule ---------------------===//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is distributed under the University of Illinois Open Source
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// License. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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//
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// This pass the isl to calculate a schedule that is optimized for parallelism
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// and tileablility. The algorithm used in isl is an optimized version of the
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// algorithm described in following paper:
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//
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// U. Bondhugula, A. Hartono, J. Ramanujam, and P. Sadayappan.
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// A Practical Automatic Polyhedral Parallelizer and Locality Optimizer.
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// In Proceedings of the 2008 ACM SIGPLAN Conference On Programming Language
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// Design and Implementation, PLDI ’08, pages 101–113. ACM, 2008.
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//===----------------------------------------------------------------------===//
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#include "polly/Cloog.h"
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#include "polly/LinkAllPasses.h"
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#include "polly/Support/GICHelper.h"
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#include "polly/Dependences.h"
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#include "polly/ScopInfo.h"
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#include "isl/dim.h"
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#include "isl/map.h"
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#include "isl/constraint.h"
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#include "isl/schedule.h"
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#include "isl/band.h"
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#define DEBUG_TYPE "polly-optimize-isl"
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#include "llvm/Support/Debug.h"
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#include "llvm/Support/CommandLine.h"
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using namespace llvm;
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using namespace polly;
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static cl::opt<bool>
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Prevector("enable-schedule-prevector",
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cl::desc("Enable the prevectorization in the scheduler"), cl::Hidden,
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cl::value_desc("Prevectorization enabled"),
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cl::init(false));
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namespace {
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class ScheduleOptimizer : public ScopPass {
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public:
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static char ID;
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explicit ScheduleOptimizer() : ScopPass(ID) {}
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virtual bool runOnScop(Scop &S);
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void printScop(llvm::raw_ostream &OS) const;
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void getAnalysisUsage(AnalysisUsage &AU) const;
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};
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}
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char ScheduleOptimizer::ID = 0;
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static int getSingleMap(__isl_take isl_map *map, void *user) {
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isl_map **singleMap = (isl_map **) user;
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*singleMap = map;
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return 0;
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}
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static void extendScattering(Scop &S, unsigned scatDimensions) {
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for (Scop::iterator SI = S.begin(), SE = S.end(); SI != SE; ++SI) {
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ScopStmt *stmt = *SI;
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if (stmt->isFinalRead())
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continue;
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isl_map *scattering = stmt->getScattering();
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isl_dim *dim = isl_dim_alloc(isl_map_get_ctx(scattering),
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isl_map_n_param(scattering),
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isl_map_n_out(scattering),
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scatDimensions);
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isl_basic_map *changeScattering = isl_basic_map_universe(isl_dim_copy(dim));
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for (unsigned i = 0; i < isl_map_n_out(scattering); i++) {
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isl_constraint *c = isl_equality_alloc(isl_dim_copy(dim));
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isl_constraint_set_coefficient_si(c, isl_dim_in, i, 1);
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isl_constraint_set_coefficient_si(c, isl_dim_out, i, -1);
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changeScattering = isl_basic_map_add_constraint(changeScattering, c);
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}
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for (unsigned i = isl_map_n_out(scattering); i < scatDimensions; i++) {
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isl_constraint *c = isl_equality_alloc(isl_dim_copy(dim));
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isl_constraint_set_coefficient_si(c, isl_dim_out, i, 1);
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changeScattering = isl_basic_map_add_constraint(changeScattering, c);
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}
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isl_map *changeScatteringMap = isl_map_from_basic_map(changeScattering);
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stmt->setScattering(isl_map_apply_range(scattering, changeScatteringMap));
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}
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}
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// getTileMap - Create a map that describes a n-dimensonal tiling.
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//
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// getTileMap creates a map from a n-dimensional scattering space into an
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// 2*n-dimensional scattering space. The map describes a rectangular tiling.
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//
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// Example:
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// scheduleDimensions = 2, parameterDimensions = 1, tileSize = 32
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//
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// tileMap := [p0] -> {[s0, s1] -> [t0, t1, s0, s1]:
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// t0 % 32 = 0 and t0 <= s0 < t0 + 32 and
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// t1 % 32 = 0 and t1 <= s1 < t1 + 32}
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//
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// Before tiling:
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//
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// for (i = 0; i < N; i++)
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// for (j = 0; j < M; j++)
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// S(i,j)
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//
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// After tiling:
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//
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// for (t_i = 0; t_i < N; i+=32)
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// for (t_j = 0; t_j < M; j+=32)
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// for (i = t_i; i < min(t_i + 32, N); i++) | Unknown that N % 32 = 0
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// for (j = t_j; j < t_j + 32; j++) | Known that M % 32 = 0
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// S(i,j)
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//
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static isl_basic_map *getTileMap(isl_ctx *ctx, int scheduleDimensions,
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int parameterDimensions, int tileSize = 32) {
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// We construct
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//
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// tileMap := [p0] -> {[s0, s1] -> [t0, t1, p0, p1, a0, a1]:
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// s0 = a0 * 32 and s0 = p0 and t0 <= p0 < t0 + 32 and
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// s1 = a1 * 32 and s1 = p1 and t1 <= p1 < t1 + 32}
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//
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// and project out the auxilary dimensions a0 and a1.
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isl_dim *dim = isl_dim_alloc(ctx, parameterDimensions, scheduleDimensions,
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scheduleDimensions * 3);
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isl_basic_map *tileMap = isl_basic_map_universe(isl_dim_copy(dim));
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for (int x = 0; x < scheduleDimensions; x++) {
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int sX = x;
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int tX = x;
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int pX = scheduleDimensions + x;
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int aX = 2 * scheduleDimensions + x;
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isl_constraint *c;
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// sX = aX * tileSize;
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c = isl_equality_alloc(isl_dim_copy(dim));
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isl_constraint_set_coefficient_si(c, isl_dim_out, sX, 1);
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isl_constraint_set_coefficient_si(c, isl_dim_out, aX, -tileSize);
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tileMap = isl_basic_map_add_constraint(tileMap, c);
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// pX = sX;
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c = isl_equality_alloc(isl_dim_copy(dim));
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isl_constraint_set_coefficient_si(c, isl_dim_out, pX, 1);
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isl_constraint_set_coefficient_si(c, isl_dim_in, sX, -1);
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tileMap = isl_basic_map_add_constraint(tileMap, c);
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// tX <= pX
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c = isl_inequality_alloc(isl_dim_copy(dim));
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isl_constraint_set_coefficient_si(c, isl_dim_out, pX, 1);
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isl_constraint_set_coefficient_si(c, isl_dim_out, tX, -1);
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tileMap = isl_basic_map_add_constraint(tileMap, c);
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// pX <= tX + (tileSize - 1)
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c = isl_inequality_alloc(isl_dim_copy(dim));
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isl_constraint_set_coefficient_si(c, isl_dim_out, tX, 1);
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isl_constraint_set_coefficient_si(c, isl_dim_out, pX, -1);
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isl_constraint_set_constant_si(c, tileSize - 1);
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tileMap = isl_basic_map_add_constraint(tileMap, c);
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}
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// Project out auxilary dimensions.
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//
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// The auxilary dimensions are transformed into existentially quantified ones.
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// This reduces the number of visible scattering dimensions and allows Cloog
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// to produces better code.
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tileMap = isl_basic_map_project_out(tileMap, isl_dim_out,
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2 * scheduleDimensions,
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scheduleDimensions);
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isl_dim_free(dim);
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return tileMap;
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}
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isl_union_map *getTiledPartialSchedule(isl_band *band) {
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isl_union_map *partialSchedule;
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int scheduleDimensions, parameterDimensions;
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isl_ctx *ctx;
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isl_dim *dim;
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isl_basic_map *tileMap;
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isl_union_map *tileUnionMap;
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partialSchedule = isl_band_get_partial_schedule(band);
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ctx = isl_union_map_get_ctx(partialSchedule);
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dim = isl_union_map_get_dim(partialSchedule);
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scheduleDimensions = isl_band_n_member(band);
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parameterDimensions = isl_dim_size(dim, isl_dim_param);
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tileMap = getTileMap(ctx, scheduleDimensions, parameterDimensions);
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tileUnionMap = isl_union_map_from_map(isl_map_from_basic_map(tileMap));
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partialSchedule = isl_union_map_apply_range(partialSchedule, tileUnionMap);
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isl_dim_free(dim);
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isl_ctx_free(ctx);
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return partialSchedule;
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}
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static isl_map *getPrevectorMap(isl_ctx *ctx, int vectorDimension,
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int scheduleDimensions,
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int parameterDimensions,
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int vectorWidth = 4) {
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assert (0 <= vectorDimension < scheduleDimensions);
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isl_dim *dim = isl_dim_alloc(ctx, parameterDimensions, scheduleDimensions,
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scheduleDimensions + 2);
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isl_basic_map *tilingMap = isl_basic_map_universe(isl_dim_copy(dim));
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isl_constraint *c;
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for (int i = 0; i < vectorDimension; i++) {
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c = isl_equality_alloc(isl_dim_copy(dim));
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isl_constraint_set_coefficient_si(c, isl_dim_in, i, -1);
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isl_constraint_set_coefficient_si(c, isl_dim_out, i, 1);
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tilingMap = isl_basic_map_add_constraint(tilingMap, c);
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}
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for (int i = vectorDimension + 1; i < scheduleDimensions; i++) {
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c = isl_equality_alloc(isl_dim_copy(dim));
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isl_constraint_set_coefficient_si(c, isl_dim_in, i, -1);
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isl_constraint_set_coefficient_si(c, isl_dim_out, i, 1);
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tilingMap = isl_basic_map_add_constraint(tilingMap, c);
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}
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int stepDimension = scheduleDimensions;
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int auxilaryDimension = scheduleDimensions + 1;
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c = isl_equality_alloc(isl_dim_copy(dim));
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isl_constraint_set_coefficient_si(c, isl_dim_out, vectorDimension, 1);
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isl_constraint_set_coefficient_si(c, isl_dim_out, auxilaryDimension,
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-vectorWidth);
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tilingMap = isl_basic_map_add_constraint(tilingMap, c);
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c = isl_equality_alloc(isl_dim_copy(dim));
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isl_constraint_set_coefficient_si(c, isl_dim_in, vectorDimension, -1);
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isl_constraint_set_coefficient_si(c, isl_dim_out, stepDimension, 1);
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tilingMap = isl_basic_map_add_constraint(tilingMap, c);
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c = isl_inequality_alloc(isl_dim_copy(dim));
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isl_constraint_set_coefficient_si(c, isl_dim_out, vectorDimension, -1);
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isl_constraint_set_coefficient_si(c, isl_dim_out, stepDimension, 1);
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tilingMap = isl_basic_map_add_constraint(tilingMap, c);
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c = isl_inequality_alloc(isl_dim_copy(dim));
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isl_constraint_set_coefficient_si(c, isl_dim_out, vectorDimension, 1);
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isl_constraint_set_coefficient_si(c, isl_dim_out, stepDimension, -1);
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isl_constraint_set_constant_si(c, vectorWidth- 1);
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tilingMap = isl_basic_map_add_constraint(tilingMap, c);
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// Project out auxilary dimensions (introduced to ensure 'ii % tileSize = 0')
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//
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// The real dimensions are transformed into existentially quantified ones.
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// This reduces the number of visible scattering dimensions. Also, Cloog
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// produces better code, if auxilary dimensions are existentially quantified.
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tilingMap = isl_basic_map_project_out(tilingMap, isl_dim_out,
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scheduleDimensions + 1, 1);
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return isl_map_from_basic_map(tilingMap);
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}
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// tileBandList - Tile all bands contained in a band forest.
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//
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// Recursively walk the band forest and tile all bands in the forest. Return
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// a schedule that describes the tiled scattering.
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static isl_union_map *tileBandList(isl_band_list *blist) {
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int numBands = isl_band_list_n_band(blist);
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isl_union_map *finalSchedule = 0;
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for (int i = 0; i < numBands; i++) {
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isl_band *band;
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isl_union_map *partialSchedule;
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band = isl_band_list_get_band(blist, i);
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partialSchedule = getTiledPartialSchedule(band);
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if (isl_band_has_children(band)) {
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isl_band_list *children = isl_band_get_children(band);
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isl_union_map *suffixSchedule = tileBandList(children);
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partialSchedule = isl_union_map_flat_range_product(partialSchedule,
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suffixSchedule);
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} else if (Prevector) {
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isl_map *tileMap;
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isl_union_map *tileUnionMap;
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isl_ctx *ctx;
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int scheduleDimensions, parameterDimensions;
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ctx = isl_union_map_get_ctx(partialSchedule);
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for (int i = scheduleDimensions - 1 ; i >= 0 ; i--) {
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if (isl_band_member_is_parallel(band, i)) {
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tileMap = getPrevectorMap(ctx, scheduleDimensions + i,
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scheduleDimensions * 2,
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parameterDimensions);
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tileUnionMap = isl_union_map_from_map(tileMap);
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partialSchedule = isl_union_map_apply_range(partialSchedule,
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tileUnionMap);
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break;
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}
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}
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}
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if (finalSchedule)
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isl_union_map_union(finalSchedule, partialSchedule);
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else
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finalSchedule = partialSchedule;
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isl_band_free(band);
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}
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return finalSchedule;
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}
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static isl_union_map *tileSchedule(isl_schedule *schedule) {
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isl_band_list *blist = isl_schedule_get_band_forest(schedule);
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isl_union_map *tiledSchedule = tileBandList(blist);
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isl_band_list_free(blist);
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return tiledSchedule;
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}
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bool ScheduleOptimizer::runOnScop(Scop &S) {
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Dependences *D = &getAnalysis<Dependences>();
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// Build input data.
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int dependencyKinds = Dependences::TYPE_RAW
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| Dependences::TYPE_WAR
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| Dependences::TYPE_WAW;
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isl_union_map *validity = D->getDependences(dependencyKinds);
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isl_union_map *proximity = D->getDependences(dependencyKinds);
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isl_union_set *domain = NULL;
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for (Scop::iterator SI = S.begin(), SE = S.end(); SI != SE; ++SI)
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if ((*SI)->isFinalRead())
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continue;
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else if (!domain)
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domain = isl_union_set_from_set((*SI)->getDomain());
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else
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domain = isl_union_set_union(domain,
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isl_union_set_from_set((*SI)->getDomain()));
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if (!domain)
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return false;
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DEBUG(dbgs() << "\n\nCompute schedule from: ");
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DEBUG(dbgs() << "Domain := "; isl_union_set_dump(domain); dbgs() << ";\n");
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DEBUG(dbgs() << "Proximity := "; isl_union_map_dump(proximity);
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dbgs() << ";\n");
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DEBUG(dbgs() << "Validity := "; isl_union_map_dump(validity);
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dbgs() << ";\n");
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isl_schedule *schedule;
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schedule = isl_union_set_compute_schedule(domain, validity, proximity);
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DEBUG(dbgs() << "Computed schedule: ");
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DEBUG(dbgs() << stringFromIslObj(schedule));
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DEBUG(dbgs() << "Individual bands: ");
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isl_union_map *tiledSchedule = tileSchedule(schedule);
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for (Scop::iterator SI = S.begin(), SE = S.end(); SI != SE; ++SI) {
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ScopStmt *stmt = *SI;
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if (stmt->isFinalRead())
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continue;
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isl_set *domain = stmt->getDomain();
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isl_union_map *stmtBand;
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stmtBand = isl_union_map_intersect_domain(isl_union_map_copy(tiledSchedule),
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isl_union_set_from_set(domain));
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isl_map *stmtSchedule;
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isl_union_map_foreach_map(stmtBand, getSingleMap, &stmtSchedule);
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stmt->setScattering(stmtSchedule);
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}
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isl_union_map_free(tiledSchedule);
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isl_schedule_free(schedule);
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unsigned maxScatDims = 0;
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for (Scop::iterator SI = S.begin(), SE = S.end(); SI != SE; ++SI)
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maxScatDims = std::max(isl_map_n_out((*SI)->getScattering()), maxScatDims);
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extendScattering(S, maxScatDims);
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return false;
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}
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void ScheduleOptimizer::printScop(raw_ostream &OS) const {
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}
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void ScheduleOptimizer::getAnalysisUsage(AnalysisUsage &AU) const {
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ScopPass::getAnalysisUsage(AU);
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AU.addRequired<Dependences>();
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}
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static RegisterPass<ScheduleOptimizer> A("polly-optimize-isl",
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"Polly - Calculate optimized "
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"schedules using the isl schedule "
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"calculator");
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Pass* polly::createScheduleOptimizerPass() {
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return new ScheduleOptimizer();
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}
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