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This optimization is unstable at this moment; it 1) block us on a very important application 2) PR15200 3) test6 and test7 in test/Transforms/ScalarRepl/dynamic-vector-gep.ll (the CHECK command compare the output against wrong result) I personally believe this optimization should not have any impact on the autovectorized code, as auto-vectorizer is supposed to put gather/scatter in a "right" way. Although in theory downstream optimizaters might reveal some gather/scatter optimization opportunities, the chance is quite slim. For the hand-crafted vectorizing code, in term of redundancy elimination, load-CSE, copy-propagation and DSE can collectively achieve the same result, but in much simpler way. On the other hand, these optimizers are able to improve the code in a incremental way; in contrast, SROA is sort of all-or-none approach. However, SROA might slighly win in stack size, as it tries to figure out a stretch of memory tightenly cover the area accessed by the dynamic index. rdar://13174884 PR15200 git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@178912 91177308-0d34-0410-b5e6-96231b3b80d8
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