2013-04-04 23:26:27 +00:00
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; RUN: opt -mtriple=x86_64-apple-darwin -mcpu=core2 -loop-vectorize -dce -instcombine -S < %s | FileCheck %s
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2013-04-24 16:15:58 +00:00
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target datalayout = "e-p:64:64:64-i1:8:8-i8:8:8-i16:16:16-i32:32:32-i64:64:64-f32:32:32-f64:64:64-v64:64:64-v128:128:128-a0:0:64-s0:64:64-f80:128:128-n8:16:32:64-S128"
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2013-04-04 23:26:27 +00:00
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@B = common global [1024 x i32] zeroinitializer, align 16
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@A = common global [1024 x i32] zeroinitializer, align 16
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; We use to not vectorize this loop because the shift was deemed to expensive.
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; Now that we differentiate shift cost base on the operand value kind, we will
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; vectorize this loop.
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; CHECK: ashr <4 x i32>
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define void @f() {
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entry:
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br label %for.body
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for.body:
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%indvars.iv = phi i64 [ 0, %entry ], [ %indvars.iv.next, %for.body ]
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%arrayidx = getelementptr inbounds [1024 x i32]* @B, i64 0, i64 %indvars.iv
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%0 = load i32* %arrayidx, align 4
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%shl = ashr i32 %0, 3
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%arrayidx2 = getelementptr inbounds [1024 x i32]* @A, i64 0, i64 %indvars.iv
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store i32 %shl, i32* %arrayidx2, align 4
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%indvars.iv.next = add i64 %indvars.iv, 1
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%lftr.wideiv = trunc i64 %indvars.iv.next to i32
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%exitcond = icmp eq i32 %lftr.wideiv, 1024
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br i1 %exitcond, label %for.end, label %for.body
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for.end:
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ret void
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}
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