Effective SIMD Vectorization for Intel Xeon Phi Coprocessors

Article English OPEN
Xinmin Tian; Hideki Saito; Serguei V. Preis; Eric N. Garcia; Sergey S. Kozhukhov; Matt Masten; Aleksei G. Cherkasov; Nikolay Panchenko;
  • Publisher: Hindawi Limited
  • Journal: Scientific Programming (issn: 1058-9244, eissn: 1875-919X)
  • Related identifiers: doi: 10.1155/2015/269764
  • Subject: Computer software | Article Subject | QA76.75-76.765
    acm: ComputerSystemsOrganization_PROCESSORARCHITECTURES

Efficiently exploiting SIMD vector units is one of the most important aspects in achieving high performance of the application code running on Intel Xeon Phi coprocessors. In this paper, we present several effective SIMD vectorization techniques such as less-than-full-v... View more
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