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2019 (English)In: Journal of Parallel and Distributed Computing, ISSN 0743-7315, E-ISSN 1096-0848, Vol. 132, p. 69-78Article in journal (Refereed) Published
Abstract [en]
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.
Place, publisher, year, edition, pages
Academic Press, 2019
Keywords
Nek5000; OpenACC; GPU programming; Spectral element method; High performance computing
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:kth:diva-253811 (URN)10.1016/j.jpdc.2019.05.010 (DOI)000476580400006 ()2-s2.0-85066835225 (Scopus ID)
Funder
EU, Horizon 2020Swedish e‐Science Research CenterSwedish Foundation for Strategic Research
Note
QC 20190625
2019-06-182019-06-182022-06-26Bibliographically approved