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ScheduleOptimizer: Move functions into class 

llvm-svn: 155548
This commit is contained in:
Tobias Grosser 2012-04-25 13:22:43 +00:00
parent 8a8466106c
commit 460e9a463d
1 changed files with 105 additions and 83 deletions
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188
polly/lib/ScheduleOptimizer.cpp
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@ -88,6 +88,97 @@ namespace {
virtual bool runOnScop(Scop &S);
void printScop(llvm::raw_ostream &OS) const;
void getAnalysisUsage(AnalysisUsage &AU) const;
private:
static void extendScattering(Scop &S, unsigned NewDimensions);
/// @brief Create a map that describes a n-dimensonal tiling.
///
/// getTileMap creates a map from a n-dimensional scattering space into an
/// 2*n-dimensional scattering space. The map describes a rectangular
/// tiling.
///
/// Example:
/// scheduleDimensions = 2, parameterDimensions = 1, tileSize = 32
///
/// tileMap := [p0] -> {[s0, s1] -> [t0, t1, s0, s1]:
/// t0 % 32 = 0 and t0 <= s0 < t0 + 32 and
/// t1 % 32 = 0 and t1 <= s1 < t1 + 32}
///
/// Before tiling:
///
/// for (i = 0; i < N; i++)
/// for (j = 0; j < M; j++)
/// S(i,j)
///
/// After tiling:
///
/// for (t_i = 0; t_i < N; i+=32)
/// for (t_j = 0; t_j < M; j+=32)
/// for (i = t_i; i < min(t_i + 32, N); i++) | Unknown that N % 32 = 0
/// for (j = t_j; j < t_j + 32; j++) | Known that M % 32 = 0
/// S(i,j)
///
static isl_basic_map *getTileMap(isl_ctx *ctx, int scheduleDimensions,
isl_space *SpaceModel, int tileSize = 32);
/// @brief Get the schedule for this band.
///
/// Polly applies transformations like tiling on top of the isl calculated
/// value. This can influence the number of scheduling dimension. The
/// number of schedule dimensions is returned in the parameter 'Dimension'.
static isl_union_map *getScheduleForBand(isl_band *Band, int *Dimensions);
/// @brief Create a map that pre-vectorizes one scheduling dimension.
///
/// getPrevectorMap creates a map that maps each input dimension to the same
/// output dimension, except for the dimension DimToVectorize.
/// DimToVectorize is strip mined by 'VectorWidth' and the newly created
/// point loop of DimToVectorize is moved to the innermost level.
///
/// Example (DimToVectorize=0, ScheduleDimensions=2, VectorWidth=4):
///
/// | Before transformation
/// |
/// | A[i,j] -> [i,j]
/// |
/// | for (i = 0; i < 128; i++)
/// | for (j = 0; j < 128; j++)
/// | A(i,j);
///
/// Prevector map:
/// [i,j] -> [it,j,ip] : it % 4 = 0 and it <= ip <= it + 3 and i = ip
///
/// | After transformation:
/// |
/// | A[i,j] -> [it,j,ip] : it % 4 = 0 and it <= ip <= it + 3 and i = ip
/// |
/// | for (it = 0; it < 128; it+=4)
/// | for (j = 0; j < 128; j++)
/// | for (ip = max(0,it); ip < min(128, it + 3); ip++)
/// | A(ip,j);
///
/// The goal of this transformation is to create a trivially vectorizable
/// loop. This means a parallel loop at the innermost level that has a
/// constant number of iterations corresponding to the target vector width.
///
/// This transformation creates a loop at the innermost level. The loop has
/// a constant number of iterations, if the number of loop iterations at
/// DimToVectorize can be divided by VectorWidth. The default VectorWidth is
/// currently constant and not yet target specific. This function does not
/// reason about parallelism.
static isl_map *getPrevectorMap(isl_ctx *ctx, int DimToVectorize,
int ScheduleDimensions,
int VectorWidth = 4);
/// @brief Get the scheduling map for a list of bands.
///
/// Walk recursively the forest of bands to combine the schedules of the
/// individual bands to the overall schedule. In case tiling is requested,
/// the individual bands are tiled.
static isl_union_map *getScheduleForBandList(isl_band_list *BandList);
static isl_union_map *getScheduleMap(isl_schedule *Schedule);
};
}
@ -101,7 +192,7 @@ static int getSingleMap(__isl_take isl_map *map, void *user) {
return 0;
}
static void extendScattering(Scop &S, unsigned NewDimensions) {
void IslScheduleOptimizer::extendScattering(Scop &S, unsigned NewDimensions) {
for (Scop::iterator SI = S.begin(), SE = S.end(); SI != SE; ++SI) {
ScopStmt *Stmt = *SI;
unsigned OldDimensions = Stmt->getNumScattering();
@ -136,34 +227,10 @@ static void extendScattering(Scop &S, unsigned NewDimensions) {
}
}
// getTileMap - Create a map that describes a n-dimensonal tiling.
//
// getTileMap creates a map from a n-dimensional scattering space into an
// 2*n-dimensional scattering space. The map describes a rectangular tiling.
//
// Example:
// scheduleDimensions = 2, parameterDimensions = 1, tileSize = 32
//
// tileMap := [p0] -> {[s0, s1] -> [t0, t1, s0, s1]:
// t0 % 32 = 0 and t0 <= s0 < t0 + 32 and
// t1 % 32 = 0 and t1 <= s1 < t1 + 32}
//
// Before tiling:
//
// for (i = 0; i < N; i++)
// for (j = 0; j < M; j++)
// S(i,j)
//
// After tiling:
//
// for (t_i = 0; t_i < N; i+=32)
// for (t_j = 0; t_j < M; j+=32)
// for (i = t_i; i < min(t_i + 32, N); i++) | Unknown that N % 32 = 0
// for (j = t_j; j < t_j + 32; j++) | Known that M % 32 = 0
// S(i,j)
//
static isl_basic_map *getTileMap(isl_ctx *ctx, int scheduleDimensions,
isl_space *SpaceModel, int tileSize = 32) {
isl_basic_map *IslScheduleOptimizer::getTileMap(isl_ctx *ctx,
int scheduleDimensions,
isl_space *SpaceModel,
int tileSize) {
// We construct
//
// tileMap := [p0] -> {[s0, s1] -> [t0, t1, p0, p1, a0, a1]:
@ -223,12 +290,8 @@ static isl_basic_map *getTileMap(isl_ctx *ctx, int scheduleDimensions,
return tileMap;
}
// getScheduleForBand - Get the schedule for this band.
//
// Polly applies transformations like tiling on top of the isl calculated value.
// This can influence the number of scheduling dimension. The number of
// schedule dimensions is returned in the parameter 'Dimension'.
isl_union_map *getScheduleForBand(isl_band *Band, int *Dimensions) {
isl_union_map *IslScheduleOptimizer::getScheduleForBand(isl_band *Band,
int *Dimensions) {
isl_union_map *PartialSchedule;
isl_ctx *ctx;
isl_space *Space;
@ -256,47 +319,10 @@ isl_union_map *getScheduleForBand(isl_band *Band, int *Dimensions) {
return isl_union_map_apply_range(PartialSchedule, TileUMap);
}
// Create a map that pre-vectorizes one scheduling dimension.
//
// getPrevectorMap creates a map that maps each input dimension to the same
// output dimension, except for the dimension DimToVectorize. DimToVectorize is
// strip mined by 'VectorWidth' and the newly created point loop of
// DimToVectorize is moved to the innermost level.
//
// Example (DimToVectorize=0, ScheduleDimensions=2, VectorWidth=4):
//
// | Before transformation
// |
// | A[i,j] -> [i,j]
// |
// | for (i = 0; i < 128; i++)
// | for (j = 0; j < 128; j++)
// | A(i,j);
//
// Prevector map:
// [i,j] -> [it,j,ip] : it % 4 = 0 and it <= ip <= it + 3 and i = ip
//
// | After transformation:
// |
// | A[i,j] -> [it,j,ip] : it % 4 = 0 and it <= ip <= it + 3 and i = ip
// |
// | for (it = 0; it < 128; it+=4)
// | for (j = 0; j < 128; j++)
// | for (ip = max(0,it); ip < min(128, it + 3); ip++)
// | A(ip,j);
//
// The goal of this transformation is to create a trivially vectorizable loop.
// This means a parallel loop at the innermost level that has a constant number
// of iterations corresponding to the target vector width.
//
// This transformation creates a loop at the innermost level. The loop has a
// constant number of iterations, if the number of loop iterations at
// DimToVectorize can be divided by VectorWidth. The default VectorWidth is
// currently constant and not yet target specific. This function does not reason
// about parallelism.
static isl_map *getPrevectorMap(isl_ctx *ctx, int DimToVectorize,
int ScheduleDimensions,
int VectorWidth = 4) {
isl_map *IslScheduleOptimizer::getPrevectorMap(isl_ctx *ctx,
int DimToVectorize,
int ScheduleDimensions,
int VectorWidth) {
isl_space *Space;
isl_local_space *LocalSpace, *LocalSpaceRange;
isl_set *Modulo;
@ -357,12 +383,8 @@ static isl_map *getPrevectorMap(isl_ctx *ctx, int DimToVectorize,
return TilingMap;
}
// getScheduleForBandList - Get the scheduling map for a list of bands.
//
// We walk recursively the forest of bands to combine the schedules of the
// individual bands to the overall schedule. In case tiling is requested,
// the individual bands are tiled.
static isl_union_map *getScheduleForBandList(isl_band_list *BandList) {
isl_union_map *IslScheduleOptimizer::getScheduleForBandList(
isl_band_list *BandList) {
int NumBands;
isl_union_map *Schedule;
isl_ctx *ctx;
@ -417,7 +439,7 @@ static isl_union_map *getScheduleForBandList(isl_band_list *BandList) {
return Schedule;
}
static isl_union_map *getScheduleMap(isl_schedule *Schedule) {
isl_union_map *IslScheduleOptimizer::getScheduleMap(isl_schedule *Schedule) {
isl_band_list *BandList = isl_schedule_get_band_forest(Schedule);
isl_union_map *ScheduleMap = getScheduleForBandList(BandList);
isl_band_list_free(BandList);