b3e8e688da
LoopVectorize: Fix a bug in the initialization of reduction variables. AND needs to start at all-one
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while XOR, and OR need to start at zero.
llvm-svn: 167032
2012-10-30 18:12:36 +00:00
859366f93f
1. Fix a bug in getTypeConversion. When a *simple* type is split, we need to return the type of the split result.
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2. Change the maximum vectorization width from 4 to 8.
3. A test for both.
llvm-svn: 166864
2012-10-27 04:11:32 +00:00
afae78edab
Refactor the VectorTargetTransformInfo interface.
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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.
llvm-svn: 166836
2012-10-26 23:49:28 +00:00
fcd1af344c
Move the target-specific tests, which require specific backends, to dirs that only run if the target is present.
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llvm-svn: 166796
2012-10-26 18:52:01 +00:00
ede4fd4777
Fix the cost-model test.
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llvm-svn: 166722
2012-10-25 21:42:50 +00:00
27d523580c
Add the cpu model to the test.
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llvm-svn: 166718
2012-10-25 21:18:42 +00:00
5ffb049a55
Add support for additional reduction variables: AND, OR, XOR.
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Patch by Paul Redmond <paul.redmond@intel.com>.
llvm-svn: 166649
2012-10-25 00:08:41 +00:00
4a87683a41
Implement a basic cost model for vector and scalar instructions.
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llvm-svn: 166642
2012-10-24 23:47:38 +00:00
a721b21c64
LoopVectorizer: Add a basic cost model which uses the VTTI interface.
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llvm-svn: 166620
2012-10-24 20:36:32 +00:00
5bed7b4fad
Use the AliasAnalysis isIdentifiedObj because it also understands mallocs and c++ news.
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PR14158.
llvm-svn: 166491
2012-10-23 18:44:18 +00:00
1c7fc71e69
Don't crash if the load/store pointer is not a GEP.
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Fix by Shivarama Rao <Shivarama.Rao@amd.com>
llvm-svn: 166427
2012-10-22 18:27:56 +00:00
03011f1393
Vectorizer: optimize the generation of selects. If the condition is uniform, generate a scalar-cond select (i1 as selector).
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llvm-svn: 166409
2012-10-22 04:38:00 +00:00
fe88c67161
Fix a bug in the vectorization of wide load/store operations.
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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;
llvm-svn: 166388
2012-10-21 06:49:10 +00:00
c1679a95b6
Add support for reduction variables that do not start at zero.
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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 += ...
llvm-svn: 166387
2012-10-21 05:52:51 +00:00
7e1084d36c
Vectorizer: fix a bug in the classification of induction/reduction phis.
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llvm-svn: 166384
2012-10-21 02:38:01 +00:00
e5dc57d4fb
Fix an infinite loop in the loop-vectorizer.
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PR14134.
llvm-svn: 166379
2012-10-20 20:45:01 +00:00
d189b82a9b
Vectorize: teach cavVectorizeMemory to distinguish between A[i]+=x and A[B[i]]+=x.
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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.
llvm-svn: 166371
2012-10-20 08:26:33 +00:00
4f7f72702b
Vectorizer: Add support for loop reductions.
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For example:
for (i=0; i<n; i++)
sum += A[i] + B[i] + i;
llvm-svn: 166351
2012-10-19 23:05:40 +00:00
ced93f3a05
vectorizer: Add support for reading and writing from the same memory location.
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llvm-svn: 166255
2012-10-19 01:24:18 +00:00
b52f717411
Vectorizer: Add support for loops with an unknown count. For example:
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for (i=0; i<n; i++){
a[i] = b[i+1] + c[i+3];
}
llvm-svn: 166165
2012-10-18 05:29:12 +00:00
6b94c2a09b
Add a loop vectorizer.
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llvm-svn: 166112
2012-10-17 18:25:06 +00:00
Nadav Rotem