2017-02-23 11:44:12 +00:00
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; RUN: opt -S %loadPolly -polly-pattern-matching-based-opts=false \
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; RUN: -polly-vectorizer=stripmine -polly-opt-isl -polly-ast -analyze \
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; RUN: < %s | FileCheck %s
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2016-01-15 00:48:42 +00:00
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; CHECK: // 1st level tiling - Tiles
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2016-02-23 09:00:13 +00:00
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; CHECK-NEXT: #pragma known-parallel
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; CHECK-NEXT: for (int c0 = 0; c0 <= floord(ni - 1, 32); c0 += 1)
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; CHECK-NEXT: for (int c1 = 0; c1 <= floord(nj - 1, 32); c1 += 1)
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2018-09-27 13:39:37 +00:00
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; CHECK-NEXT: #pragma minimal dependence distance: 1
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2016-02-23 09:00:13 +00:00
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; CHECK-NEXT: for (int c2 = 0; c2 <= floord(nk - 1, 32); c2 += 1) {
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; CHECK-NEXT: // 1st level tiling - Points
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; CHECK-NEXT: for (int c3 = 0; c3 <= min(31, ni - 32 * c0 - 1); c3 += 1) {
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; CHECK-NEXT: for (int c4 = 0; c4 <= min(7, -8 * c1 + nj / 4 - 1); c4 += 1)
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2018-09-27 13:39:37 +00:00
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; CHECK-NEXT: #pragma minimal dependence distance: 1
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2016-02-23 09:00:13 +00:00
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; CHECK-NEXT: for (int c5 = 0; c5 <= min(31, nk - 32 * c2 - 1); c5 += 1) {
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; CHECK-NEXT: // SIMD
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2018-09-27 13:39:37 +00:00
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; CHECK-NEXT: #pragma simd
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2016-02-23 09:00:13 +00:00
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; CHECK-NEXT: for (int c6 = 0; c6 <= 3; c6 += 1)
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; CHECK-NEXT: Stmt_for_body_6(32 * c0 + c3, 32 * c1 + 4 * c4 + c6, 32 * c2 + c5);
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; CHECK-NEXT: }
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; CHECK-NEXT: if (32 * c1 + 31 >= nj)
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; CHECK-NEXT: #pragma minimal dependence distance: 1
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; CHECK-NEXT: for (int c5 = 0; c5 <= min(31, nk - 32 * c2 - 1); c5 += 1) {
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; CHECK-NEXT: // SIMD
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2018-09-27 13:39:37 +00:00
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; CHECK-NEXT: #pragma simd
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2016-02-23 09:00:13 +00:00
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; CHECK-NEXT: for (int c6 = 0; c6 < nj % 4; c6 += 1)
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2016-11-10 09:39:58 +00:00
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; CHECK-NEXT: Stmt_for_body_6(32 * c0 + c3, -(nj % 4) + nj + c6, 32 * c2 + c5);
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2016-02-23 09:00:13 +00:00
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; CHECK-NEXT: }
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; CHECK-NEXT: }
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; CHECK-NEXT: }
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Full/partial tile separation for vectorization
We isolate full tiles from partial tiles to be able to, for example, vectorize
loops with parametric lower and/or upper bounds.
If we use -polly-vectorizer=stripmine, we can see execution-time improvements:
correlation from 1m7361s to 0m5720s (-67.05 %), covariance from 1m5561s to
0m5680s (-63.50 %), ary3 from 2m3201s to 1m2361s (-46.72 %), CrystalMk from
8m5565s to 7m4285s (-13.18 %).
The current full/partial tile separation increases compile-time more than
necessary. As a result, we see in compile time regressions, for example, for 3mm
from 0m6320s to 0m9881s (56.34%). Some of this compile time increase is expected
as we generate more IR and consequently more time is spent in the LLVM backends.
However, a first investiagation has shown that a larger portion of compile time
is unnecessarily spent inside Polly's parallelism detection and could be
eliminated by propagating existing knowledge about vector loop parallelism.
Before enabling -polly-vectorizer=stripmine by default, it is necessary to
address this compile-time issue.
Contributed-by: Roman Gareev <gareevroman@gmail.com>
Reviewers: jdoerfert, grosser
Subscribers: grosser, #polly
Differential Revision: http://reviews.llvm.org/D13779
llvm-svn: 250809
2015-10-20 09:12:21 +00:00
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; Function Attrs: nounwind uwtable
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define void @kernel_gemm(i32 %ni, i32 %nj, i32 %nk, double %alpha, double %beta, [1024 x double]* %C, [1024 x double]* %A, [1024 x double]* %B) #0 {
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entry:
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%cmp.27 = icmp sgt i32 %ni, 0
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br i1 %cmp.27, label %for.cond.1.preheader.lr.ph, label %for.end.22
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for.cond.1.preheader.lr.ph: ; preds = %entry
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br label %for.cond.1.preheader
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for.cond.1.preheader: ; preds = %for.cond.1.preheader.lr.ph, %for.inc.20
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%indvars.iv33 = phi i64 [ 0, %for.cond.1.preheader.lr.ph ], [ %indvars.iv.next34, %for.inc.20 ]
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%cmp2.25 = icmp sgt i32 %nj, 0
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br i1 %cmp2.25, label %for.cond.4.preheader.lr.ph, label %for.inc.20
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for.cond.4.preheader.lr.ph: ; preds = %for.cond.1.preheader
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br label %for.cond.4.preheader
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for.cond.4.preheader: ; preds = %for.cond.4.preheader.lr.ph, %for.inc.17
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%indvars.iv29 = phi i64 [ 0, %for.cond.4.preheader.lr.ph ], [ %indvars.iv.next30, %for.inc.17 ]
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%cmp5.23 = icmp sgt i32 %nk, 0
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br i1 %cmp5.23, label %for.body.6.lr.ph, label %for.inc.17
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for.body.6.lr.ph: ; preds = %for.cond.4.preheader
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br label %for.body.6
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for.body.6: ; preds = %for.body.6.lr.ph, %for.body.6
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%indvars.iv = phi i64 [ 0, %for.body.6.lr.ph ], [ %indvars.iv.next, %for.body.6 ]
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%arrayidx8 = getelementptr inbounds [1024 x double], [1024 x double]* %A, i64 %indvars.iv33, i64 %indvars.iv
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%0 = load double, double* %arrayidx8, align 8
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%arrayidx12 = getelementptr inbounds [1024 x double], [1024 x double]* %B, i64 %indvars.iv, i64 %indvars.iv29
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%1 = load double, double* %arrayidx12, align 8
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%mul = fmul double %0, %1
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%arrayidx16 = getelementptr inbounds [1024 x double], [1024 x double]* %C, i64 %indvars.iv33, i64 %indvars.iv29
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%2 = load double, double* %arrayidx16, align 8
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%add = fadd double %2, %mul
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store double %add, double* %arrayidx16, align 8
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%indvars.iv.next = add nuw nsw i64 %indvars.iv, 1
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%lftr.wideiv = trunc i64 %indvars.iv.next to i32
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%exitcond = icmp ne i32 %lftr.wideiv, %nk
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br i1 %exitcond, label %for.body.6, label %for.cond.4.for.inc.17_crit_edge
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for.cond.4.for.inc.17_crit_edge: ; preds = %for.body.6
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br label %for.inc.17
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for.inc.17: ; preds = %for.cond.4.for.inc.17_crit_edge, %for.cond.4.preheader
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%indvars.iv.next30 = add nuw nsw i64 %indvars.iv29, 1
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%lftr.wideiv31 = trunc i64 %indvars.iv.next30 to i32
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%exitcond32 = icmp ne i32 %lftr.wideiv31, %nj
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br i1 %exitcond32, label %for.cond.4.preheader, label %for.cond.1.for.inc.20_crit_edge
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for.cond.1.for.inc.20_crit_edge: ; preds = %for.inc.17
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br label %for.inc.20
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for.inc.20: ; preds = %for.cond.1.for.inc.20_crit_edge, %for.cond.1.preheader
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%indvars.iv.next34 = add nuw nsw i64 %indvars.iv33, 1
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%lftr.wideiv35 = trunc i64 %indvars.iv.next34 to i32
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%exitcond36 = icmp ne i32 %lftr.wideiv35, %ni
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br i1 %exitcond36, label %for.cond.1.preheader, label %for.cond.for.end.22_crit_edge
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for.cond.for.end.22_crit_edge: ; preds = %for.inc.20
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br label %for.end.22
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for.end.22: ; preds = %for.cond.for.end.22_crit_edge, %entry
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ret void
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}
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