[SLP] Fixed cost model for horizontal reduction.

Currently when cost of scalar operations is evaluated the vector type is
used for scalar operations. Patch fixes this issue and fixes evaluation
of the vector operations cost.
Several test showed that vector cost model is too optimistic. It
allowed vectorization of 8 or less add/fadd operations, though scalar
code is faster. Actually, only for 16 or more operations vector code
provides better performance.

Differential Revision: https://reviews.llvm.org/D26277

llvm-svn: 288398
This commit is contained in:
Alexey Bataev 2016-12-01 18:42:42 +00:00
parent 358faec6ab
commit 62af7252f1
4 changed files with 70 additions and 14 deletions

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@ -927,16 +927,71 @@ public:
unsigned getReductionCost(unsigned Opcode, Type *Ty, bool IsPairwise) {
assert(Ty->isVectorTy() && "Expect a vector type");
Type *ScalarTy = Ty->getVectorElementType();
unsigned NumVecElts = Ty->getVectorNumElements();
unsigned NumReduxLevels = Log2_32(NumVecElts);
unsigned ArithCost =
NumReduxLevels *
static_cast<T *>(this)->getArithmeticInstrCost(Opcode, Ty);
// Assume the pairwise shuffles add a cost.
unsigned ShuffleCost =
NumReduxLevels * (IsPairwise + 1) *
static_cast<T *>(this)
->getShuffleCost(TTI::SK_ExtractSubvector, Ty, NumVecElts / 2, Ty);
// Try to calculate arithmetic and shuffle op costs for reduction operations.
// We're assuming that reduction operation are performing the following way:
// 1. Non-pairwise reduction
// %val1 = shufflevector<n x t> %val, <n x t> %undef,
// <n x i32> <i32 n/2, i32 n/2 + 1, ..., i32 n, i32 undef, ..., i32 undef>
// \----------------v-------------/ \----------v------------/
// n/2 elements n/2 elements
// %red1 = op <n x t> %val, <n x t> val1
// After this operation we have a vector %red1 with only maningfull the
// first n/2 elements, the second n/2 elements are undefined and can be
// dropped. All other operations are actually working with the vector of
// length n/2, not n. though the real vector length is still n.
// %val2 = shufflevector<n x t> %red1, <n x t> %undef,
// <n x i32> <i32 n/4, i32 n/4 + 1, ..., i32 n/2, i32 undef, ..., i32 undef>
// \----------------v-------------/ \----------v------------/
// n/4 elements 3*n/4 elements
// %red2 = op <n x t> %red1, <n x t> val2 - working with the vector of
// length n/2, the resulting vector has length n/4 etc.
// 2. Pairwise reduction:
// Everything is the same except for an additional shuffle operation which
// is used to produce operands for pairwise kind of reductions.
// %val1 = shufflevector<n x t> %val, <n x t> %undef,
// <n x i32> <i32 0, i32 2, ..., i32 n-2, i32 undef, ..., i32 undef>
// \-------------v----------/ \----------v------------/
// n/2 elements n/2 elements
// %val2 = shufflevector<n x t> %val, <n x t> %undef,
// <n x i32> <i32 1, i32 3, ..., i32 n-1, i32 undef, ..., i32 undef>
// \-------------v----------/ \----------v------------/
// n/2 elements n/2 elements
// %red1 = op <n x t> %val1, <n x t> val2
// Again, the operation is performed on <n x t> vector, but the resulting
// vector %red1 is <n/2 x t> vector.
//
// The cost model should take into account that the actual length of the
// vector is reduced on each iteration.
unsigned ArithCost = 0;
unsigned ShuffleCost = 0;
auto *ConcreteTTI = static_cast<T *>(this);
std::pair<unsigned, MVT> LT =
ConcreteTTI->getTLI()->getTypeLegalizationCost(DL, Ty);
unsigned LongVectorCount = 0;
unsigned MVTLen =
LT.second.isVector() ? LT.second.getVectorNumElements() : 1;
while (NumVecElts > MVTLen) {
NumVecElts /= 2;
// Assume the pairwise shuffles add a cost.
ShuffleCost += (IsPairwise + 1) *
ConcreteTTI->getShuffleCost(TTI::SK_ExtractSubvector, Ty,
NumVecElts, Ty);
ArithCost += ConcreteTTI->getArithmeticInstrCost(Opcode, Ty);
Ty = VectorType::get(ScalarTy, NumVecElts);
++LongVectorCount;
}
// The minimal length of the vector is limited by the real length of vector
// operations performed on the current platform. That's why several final
// reduction opertions are perfomed on the vectors with the same
// architecture-dependent length.
ShuffleCost += (NumReduxLevels - LongVectorCount) * (IsPairwise + 1) *
ConcreteTTI->getShuffleCost(TTI::SK_ExtractSubvector, Ty,
NumVecElts, Ty);
ArithCost += (NumReduxLevels - LongVectorCount) *
ConcreteTTI->getArithmeticInstrCost(Opcode, Ty);
return ShuffleCost + ArithCost + getScalarizationOverhead(Ty, false, true);
}

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@ -4287,7 +4287,8 @@ private:
int VecReduxCost = IsPairwiseReduction ? PairwiseRdxCost : SplittingRdxCost;
int ScalarReduxCost =
ReduxWidth * TTI->getArithmeticInstrCost(ReductionOpcode, VecTy);
(ReduxWidth - 1) *
TTI->getArithmeticInstrCost(ReductionOpcode, ScalarTy);
DEBUG(dbgs() << "SLP: Adding cost " << VecReduxCost - ScalarReduxCost
<< " for reduction that starts with " << *FirstReducedVal

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@ -33,7 +33,7 @@ define fastcc i32 @reduction_cost_int(<8 x i32> %rdx) {
%bin.rdx.3 = add <8 x i32> %bin.rdx.2, %rdx.shuf.3
; CHECK-LABEL: reduction_cost_int
; CHECK: cost of 17 {{.*}} extractelement
; CHECK: cost of 11 {{.*}} extractelement
; AVX-LABEL: reduction_cost_int
; AVX: cost of 5 {{.*}} extractelement

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@ -10,10 +10,10 @@
; return sum;
; }
; Vector cost is 5, Scalar cost is 32
; CHECK: Adding cost -27 for reduction that starts with %7 = load i32, i32* %arrayidx.7, align 4 (It is a splitting reduction)
; Vector cost is 17, Scalar cost is 16
; SSE2: Adding cost 1 for reduction that starts with %7 = load i32, i32* %arrayidx.7, align 4 (It is a splitting reduction)
; Vector cost is 5, Scalar cost is 7
; CHECK: Adding cost -2 for reduction that starts with %7 = load i32, i32* %arrayidx.7, align 4 (It is a splitting reduction)
; Vector cost is 11, Scalar cost is 7
; SSE2: Adding cost 4 for reduction that starts with %7 = load i32, i32* %arrayidx.7, align 4 (It is a splitting reduction)
define i32 @test(i32* nocapture readonly %p) {
; CHECK-LABEL: @test(
; CHECK: [[BC:%.*]] = bitcast i32* %p to <8 x i32>*