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Program Systems: Theory and Applications, 2019, Volume 10, Issue 4, Pages 201–217
DOI: https://doi.org/10.25209/2079-3316-2019-10-4-201-217
(Mi ps359)
 

This article is cited in 2 scientific papers (total in 2 papers)

Hardware, software and distributed supercomputer systems

Fine-grained parallelism and higher core performance: advantages of vector dataflow processor

N. I. Dikarev, B. M. Shabanov, A. S. Shmelev

Joint Supercomputer Center of RAS
References:
Abstract: Currently, the reserves in increasing the performance of modern processors are almost exhausted. The stagnation is evidenced by the absence of growth, both the clock frequency and the number of instructions executed per clock, which determine the scalar performance of the processor core. In vector dataflow processor under development, processor core performance looks increased up to 256 flops per clock, which is eight times higher than the latest Intel Xeon processors due to a higher fraction of vector execution. We show that that vector dataflow processor has a higher ratio of real performance to peak on programs such as bitonic sorting, matrix multiplication, and 2D Stencil compared to the best traditional architecture processors.
Key words and phrases: vector processor, dataflow architecture, shared-memory multiprocessor, performance evaluation.
Funding agency Grant number
Russian Foundation for Basic Research 17-07-01457_а
19-07-00987
Received: 19.11.2019
Accepted: 26.12.2019
Document Type: Article
UDC: 004.272.25:004.272.44
BBC: З971.32-043:22.151.511
MSC: Primary 65Y05; Secondary 68Q10, 08-04
Language: Russian
Citation: N. I. Dikarev, B. M. Shabanov, A. S. Shmelev, “Fine-grained parallelism and higher core performance: advantages of vector dataflow processor”, Program Systems: Theory and Applications, 10:4 (2019), 201–217
Citation in format AMSBIB
\Bibitem{DikShaShm19}
\by N.~I.~Dikarev, B.~M.~Shabanov, A.~S.~Shmelev
\paper Fine-grained parallelism and higher core performance: advantages of vector dataflow processor
\jour Program Systems: Theory and Applications
\yr 2019
\vol 10
\issue 4
\pages 201--217
\mathnet{http://mi.mathnet.ru/ps359}
\crossref{https://doi.org/10.25209/2079-3316-2019-10-4-201-217}
Linking options:
  • https://www.mathnet.ru/eng/ps359
  • https://www.mathnet.ru/eng/ps/v10/i4/p201
  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Program Systems: Theory and Applications
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    References:23
     
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