Vestnik Yuzhno-Ural'skogo Gosudarstvennogo Universiteta. Seriya "Vychislitelnaya Matematika i Informatika"
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Vestnik Yuzhno-Ural'skogo Gosudarstvennogo Universiteta. Seriya "Vychislitelnaya Matematika i Informatika", 2013, Volume 2, Issue 4, Pages 44–56
DOI: https://doi.org/10.14529/cmse130404
(Mi vyurv108)
 

Computer Science, Engineering and Control

Mapping DVMH-programs with regular dependencies onto clusters with GPU

V. A. Bakhtin, A. S. Kolganov, V. A. Krukov, N. V. Podderyugina, M. N. Pritula

Keldysh Institute of Applied Mathematics Russian Academy of Sciences (Moscow, Russian Federation)
References:
Abstract: In the 2011 year DVMH programming model for new heterogeneous and hybrid supercomputer systems (or DVM for Heterogeneous systems) was introduced in the Keldysh Institute for Applied Mathematics of RAS. The developed high-level programming languages were based on standard Fortran and C programming languages, but extended with the directives for mapping the program onto a parallel computer. The directives are represented as special comments (or pragmas). The paper describes problems and methods for mapping loops, which have dependencies to the GPU. Efficiency of the developed Fortran DVMH parallel programs with regular dependencies is demonstrated.
Keywords: DVM for Heterogeneous systems, Fortran DVMH, hybrid computational systems with accelerators, GPU, CUDA.
Funding agency Grant number
Russian Foundation for Basic Research 11-01-00246_а
12-01-33003 мол_а_вед
12-07-31204-мол_а
Ministry of Education and Science of the Russian Federation НШ-4307.2012.9
Received: 18.10.2013
Document Type: Article
UDC: 004.432
Language: Russian
Citation: V. A. Bakhtin, A. S. Kolganov, V. A. Krukov, N. V. Podderyugina, M. N. Pritula, “Mapping DVMH-programs with regular dependencies onto clusters with GPU”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 2:4 (2013), 44–56
Citation in format AMSBIB
\Bibitem{BakKolKru13}
\by V.~A.~Bakhtin, A.~S.~Kolganov, V.~A.~Krukov, N.~V.~Podderyugina, M.~N.~Pritula
\paper Mapping DVMH-programs with regular dependencies onto clusters with GPU
\jour Vestn. YuUrGU. Ser. Vych. Matem. Inform.
\yr 2013
\vol 2
\issue 4
\pages 44--56
\mathnet{http://mi.mathnet.ru/vyurv108}
\crossref{https://doi.org/10.14529/cmse130404}
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