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ScheduleOptimizer: Add an isl based schedule optimizer
The isl based routines implement a new interpretation of the Pluto algorithm new interpretation. This patch requires a recent version of isl to be installed. llvm-svn: 131354
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@@ -43,6 +43,7 @@ namespace polly {
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Pass *createJSONImporterPass();
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Pass *createRegionSimplifyPass();
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Pass *createScopInfoPass();
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Pass *createScheduleOptimizerPass();
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#ifdef OPENSCOP_FOUND
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Pass *createScopExporterPass();
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@@ -87,6 +88,7 @@ namespace {
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createJSONImporterPass();
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createRegionSimplifyPass();
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createScopInfoPass();
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createScheduleOptimizerPass();
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#ifdef OPENSCOP_FOUND
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createScopExporterPass();
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@@ -32,6 +32,7 @@ add_polly_library(LLVMPolly
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MayAliasSet.cpp
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Pocc.cpp
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RegionSimplify.cpp
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ScheduleOptimizer.cpp
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Exchange/JSONExporter.cpp
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${POLLY_EXCHANGE_FILES}
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${POLLY_SCOPLIB_FILES}
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251
polly/lib/ScheduleOptimizer.cpp
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251
polly/lib/ScheduleOptimizer.cpp
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@@ -0,0 +1,251 @@
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//===- 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/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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#define DEBUG_TYPE "polly-optimize-isl"
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#include "llvm/Support/Debug.h"
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using namespace llvm;
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using namespace polly;
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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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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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// @brief Tile a band.
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//
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// This function recieves a map that assigns to the instances of a statement
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// an execution time.
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//
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// [i_0, i_1, i_2] -> [o_0, o_1, o_2, i_0, i_1, i_2]:
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// o_0 % 32 = 0 and o_1 % 32 = 0 and o_2 % 32 = 0
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// and o0 <= i0 <= o0 + 32 and o1 <= i1 <= o1 + 32 and o2 <= i2 <= o2 + 32
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isl_map *tileBand(isl_map *band) {
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int dimensions = isl_map_n_out(band);
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int tileSize = 32;
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isl_dim *dim = isl_dim_alloc(isl_map_get_ctx(band), isl_map_n_param(band),
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dimensions, dimensions * 3);
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isl_basic_map *tiledBand = isl_basic_map_universe(isl_dim_copy(dim));
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for (int i = 0; i < dimensions; 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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isl_constraint_set_coefficient_si(c, isl_dim_out, 2 * dimensions + i,
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-tileSize);
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tiledBand = isl_basic_map_add_constraint(tiledBand, 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, i, -1);
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isl_constraint_set_coefficient_si(c, isl_dim_out, dimensions + i, 1);
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tiledBand = isl_basic_map_add_constraint(tiledBand, 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, i, -1);
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isl_constraint_set_coefficient_si(c, isl_dim_out, dimensions + i, 1);
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tiledBand = isl_basic_map_add_constraint(tiledBand, 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, i, 1);
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isl_constraint_set_coefficient_si(c, isl_dim_out, dimensions + i, -1);
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isl_constraint_set_constant_si(c, tileSize - 1);
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tiledBand = isl_basic_map_add_constraint(tiledBand, c);
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}
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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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tiledBand = isl_basic_map_project_out(tiledBand, isl_dim_out, 2 * dimensions,
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dimensions);
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return isl_map_apply_range(band, isl_map_from_basic_map(tiledBand));
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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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// Get the complete schedule.
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isl_union_map *scheduleMap = isl_schedule_get_map(schedule);
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DEBUG(dbgs() << "Computed schedule: ");
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DEBUG(isl_union_map_dump(scheduleMap));
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DEBUG(dbgs() << "Individual bands: ");
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// Get individual tileable bands.
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for (int i = 0; i < isl_schedule_n_band(schedule); i++) {
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isl_union_map *band = isl_schedule_get_band(schedule, i);
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DEBUG(dbgs() << "Band " << i << ": ");
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DEBUG(isl_union_map_dump(band));
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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(band),
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isl_union_set_from_set(domain));
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isl_map *sband;
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isl_union_map_foreach_map(stmtBand, getSingleMap, &sband);
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sband = tileBand(sband);
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DEBUG(dbgs() << "tiled band: ");
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DEBUG(isl_map_dump(sband));
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if (i == 0)
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stmt->setScattering(sband);
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else {
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isl_map *scattering = stmt->getScattering();
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scattering = isl_map_range_product(scattering, sband);
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scattering = isl_map_flatten(scattering);
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stmt->setScattering(scattering);
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}
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}
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}
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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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isl_schedule_free(schedule);
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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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@@ -94,6 +94,12 @@ def createAssemblyFile(tmpDir, file, number, args, polly):
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if args.fpluto:
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commandLine.append('-polly-optimize')
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if args.foptimize:
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commandLine.append('-polly-optimize-isl')
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if args.fatLeastOnce:
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commandLine.append('-enable-polly-atLeastOnce')
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if args.faligned:
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commandLine.append('-enable-polly-aligned')
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@@ -232,8 +238,14 @@ def parseArguments():
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parser.add_argument('-fpolly', help='enable polly', action='store_true')
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parser.add_argument('-fpluto', help='enable pluto', action='store_true')
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parser.add_argument('-fpluto-fuse', dest='pluto_fuse', help='enable pluto')
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parser.add_argument('-foptimize',
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help='Optimize schedule with isl pluto like algorithm',
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action='store_true')
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parser.add_argument('-faligned', help='Assume aligned vector accesses',
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action='store_true')
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parser.add_argument('-fatLeastOnce',
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help='Assume all loops are executed at least once',
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action='store_true')
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parser.add_argument('-fview-scops', dest='view',
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help='Show the scops with graphviz',
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action='store_true')
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@@ -285,6 +297,9 @@ def parseArguments():
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if arguments.fpluto:
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arguments.fpolly = True
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if arguments.foptimize:
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arguments.fpolly = True
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return arguments
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def createAssemblyFiles(files, args, pollyLib):
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