llvm/llvm-project

Implement non-unit stride dense vectorization (difficult starter)

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#51.660 aberto em 26 de out. de 2021

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bugzillagood first issuemlir:llvmmlir:sparsetensor

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Description

Bugzilla Link 52318
Version unspecified
OS Linux
CC @joker-eph

Extended Description

Implement strided load/stores on dense arrays, so that vectorization does not need to be disabled when the access pattern is non-contiguous for the dense data structures.

Start by looking at denseUnitStrides() in https://github.com/llvm/llvm-project/blob/main/mlir/lib/Dialect/SparseTensor/Transforms/Sparsification.cpp

This will require tensor loads and stores that have become non-unit stride to compute the proper strides and use this during vectorization.

This is a non-trivial starter, and requires adding vector dialect support first (for the non-unit stride load and stores) and then very careful engineering within the sparse compiler codegen).

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