Using Ensemble Learning to Improve Automatic Vectorization of Tensor Contraction Program
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DOI: 10.1109/access.2018.2867151
Abstract: Automatic vectorization is crucial for improving the performance of computationally intensive programs. Existing compilers use conservative optimization strategies for automatic vectorization, which, in many cases, lead to the loss of vectorization opportunity. Studies have shown… read more here.
Keywords: vectorization; automatic vectorization; tensor contraction; performance ... See more keywords