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2013-01-07Switch BBVectorize to directly depend on having a TTI analysis.Chandler Carruth
This could be simplified further, but Hal has a specific feature for ignoring TTI, and so I preserved that. Also, I needed to use it because a number of tests fail when switching from a null TTI to the NoTTI nonce implementation. That seems suspicious to me and so may be something that you need to look into Hal. I worked it by preserving the old behavior for these tests with the flag that ignores all target info. git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@171722 91177308-0d34-0410-b5e6-96231b3b80d8
2012-11-28BBVectorize: Correctly merge SubclassOptionalDataHal Finkel
When two instructions are combined into a vector instruction, the resulting instruction must have the most-conservative flags. git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@168765 91177308-0d34-0410-b5e6-96231b3b80d8
2012-10-31BBVectorize: Choose pair ordering to minimize shufflesHal Finkel
BBVectorize would, except for loads and stores, always fuse instructions so that the first instruction (in the current source order) would always represent the low part of the input vectors and the second instruction would always represent the high part. This lead to too many shuffles being produced because sometimes the opposite order produces fewer of them. With this change, BBVectorize tracks the kind of pair connections that form the DAG of candidate pairs, and uses that information to reorder the pairs to avoid excess shuffles. Using this information, a future commit will be able to add VTTI-based shuffle costs to the pair selection procedure. Importantly, the number of remaining shuffles can now be estimated during pair selection. There are some trivial instruction reorderings in the test cases, and one simple additional test where we certainly want to do a reordering to avoid an unnecessary shuffle. git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@167122 91177308-0d34-0410-b5e6-96231b3b80d8
2012-10-26Move target-specific BBVectorize tests into a separate directory.Hal Finkel
git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@166802 91177308-0d34-0410-b5e6-96231b3b80d8
2012-10-25Add CPU model to BBVectorize cost-model tests.Hal Finkel
git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@166720 91177308-0d34-0410-b5e6-96231b3b80d8
2012-10-25Begin incorporating target information into BBVectorize.Hal Finkel
This is the first of several steps to incorporate information from the new TargetTransformInfo infrastructure into BBVectorize. Two things are done here: 1. Target information is used to determine if it is profitable to fuse two instructions. This means that the cost of the vector operation must not be more expensive than the cost of the two original operations. Pairs that are not profitable are no longer considered (because current cost information is incomplete, for intrinsics for example, equal-cost pairs are still considered). 2. The 'cost savings' computed for the profitability check are also used to rank the DAGs that represent the potential vectorization plans. Specifically, for nodes of non-trivial depth, the cost savings is used as the node weight. The next step will be to incorporate the shuffle costs into the DAG weighting; this will give the edges of the DAG weights as well. Once that is done, when target information is available, we should be able to dispense with the depth heuristic. git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@166716 91177308-0d34-0410-b5e6-96231b3b80d8
2012-06-28Allow BBVectorize to form non-2^n-length vectors.Hal Finkel
The original algorithm only used recursive pair fusion of equal-length types. This is now extended to allow pairing of any types that share the same underlying scalar type. Because we would still generally prefer the 2^n-length types, those are formed first. Then a second set of iterations form the non-2^n-length types. Also, a call to SimplifyInstructionsInBlock has been added after each pairing iteration. This takes care of DCE (and a few other things) that make the following iterations execute somewhat faster. For the same reason, some of the simple shuffle-combination cases are now handled internally. There is some additional refactoring work to be done, but I've had many requests for this feature, so additional refactoring will come soon in future commits (as will additional test cases). git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@159330 91177308-0d34-0410-b5e6-96231b3b80d8
2012-02-01Add a basic-block autovectorization pass.Hal Finkel
This is the initial checkin of the basic-block autovectorization pass along with some supporting vectorization infrastructure. Special thanks to everyone who helped review this code over the last several months (especially Tobias Grosser). git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@149468 91177308-0d34-0410-b5e6-96231b3b80d8