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OpenACC acceleration for the PN-PN-2 algorithm in Nek5000

Otero, Evelyn, 1983- (author)
KTH,Aerodynamik,Linné Flow Center, FLOW
Gong, Jing, 1916- (author)
KTH,Parallelldatorcentrum, PDC
Min, Misun (author)
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Fischer, Paul (author)
Schlatter, Philipp (author)
KTH,Mekanik,Linné Flow Center, FLOW
Laure, Erwin (author)
KTH,Parallelldatorcentrum, PDC
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 (creator_code:org_t)
Academic Press, 2019
2019
English.
In: Journal of Parallel and Distributed Computing. - : Academic Press. - 0743-7315 .- 1096-0848. ; 132, s. 69-78
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Due to its high performance and throughput capabilities, GPU-accelerated computing is becoming a popular technology in scientific computing, in particular using programming models such as CUDA and OpenACC. The main advantage with OpenACC is that it enables to simply port codes in their "original" form to GPU systems through compiler directives, thus allowing an incremental approach. An OpenACC implementation is applied to the CFD code Nek5000 for simulation of incompressible flows, based on the spectral-element method. The work follows up previous implementations and focuses now on the P-N-PN-2 method for the spatial discretization of the Navier-Stokes equations. Performance results of the ported code show a speed-up of up to 3.1 on multi-GPU for a polynomial order N > 11.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)

Keyword

Nek5000; OpenACC; GPU programming; Spectral element method; High performance computing

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ref (subject category)
art (subject category)

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