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is a single pointer.
Speedup SciMark by 1%
git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@167035 91177308-0d34-0410-b5e6-96231b3b80d8
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needs to start at all-one
while XOR, and OR need to start at zero.
git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@167032 91177308-0d34-0410-b5e6-96231b3b80d8
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return the type of the split result.
2. Change the maximum vectorization width from 4 to 8.
3. A test for both.
git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@166864 91177308-0d34-0410-b5e6-96231b3b80d8
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Add getCostXXX calls for different families of opcodes, such as casts, arithmetic, cmp, etc.
Port the LoopVectorizer to the new API.
The LoopVectorizer now finds instructions which will remain uniform after vectorization. It uses this information when calculating the cost of these instructions.
git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@166836 91177308-0d34-0410-b5e6-96231b3b80d8
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that only run if the target is present.
git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@166796 91177308-0d34-0410-b5e6-96231b3b80d8
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git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@166722 91177308-0d34-0410-b5e6-96231b3b80d8
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git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@166718 91177308-0d34-0410-b5e6-96231b3b80d8
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Patch by Paul Redmond <paul.redmond@intel.com>.
git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@166649 91177308-0d34-0410-b5e6-96231b3b80d8
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git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@166642 91177308-0d34-0410-b5e6-96231b3b80d8
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git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@166620 91177308-0d34-0410-b5e6-96231b3b80d8
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and c++ news.
PR14158.
git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@166491 91177308-0d34-0410-b5e6-96231b3b80d8
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Fix by Shivarama Rao <Shivarama.Rao@amd.com>
git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@166427 91177308-0d34-0410-b5e6-96231b3b80d8
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generate a scalar-cond select (i1 as selector).
git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@166409 91177308-0d34-0410-b5e6-96231b3b80d8
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We used a SCEV to detect that A[X] is consecutive. We assumed that X was
the induction variable. But X can be any expression that uses the induction
for example: X = i + 2;
git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@166388 91177308-0d34-0410-b5e6-96231b3b80d8
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This is important for nested-loop reductions such as :
In the innermost loop, the induction variable does not start with zero:
for (i = 0 .. n)
for (j = 0 .. m)
sum += ...
git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@166387 91177308-0d34-0410-b5e6-96231b3b80d8
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git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@166384 91177308-0d34-0410-b5e6-96231b3b80d8
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PR14134.
git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@166379 91177308-0d34-0410-b5e6-96231b3b80d8
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A[B[i]]+=x.
If the pointer is consecutive then it is safe to read and write. If the pointer is non-loop-consecutive then
it is unsafe to vectorize it because we may hit an ordering issue.
git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@166371 91177308-0d34-0410-b5e6-96231b3b80d8
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For example:
for (i=0; i<n; i++)
sum += A[i] + B[i] + i;
git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@166351 91177308-0d34-0410-b5e6-96231b3b80d8
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git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@166255 91177308-0d34-0410-b5e6-96231b3b80d8
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for (i=0; i<n; i++){
a[i] = b[i+1] + c[i+3];
}
git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@166165 91177308-0d34-0410-b5e6-96231b3b80d8
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git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@166112 91177308-0d34-0410-b5e6-96231b3b80d8
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