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
A Framework for the Automatic Vectorization of Parallel Sort on x86-Based Processors
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2018.2789903
Abstract: The continued growth in the width of vector registers and the evolving library of intrinsics on the modern x86 processors make manual optimizations for data-level parallelism tedious and error-prone. In this paper, we focus on… read more here.
Keywords: framework automatic; parallel sorting; automatic vectorization; x86 based ... See more keywords