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Numerical methods and programming, 2010, Volume 11, Issue 3, Pages 77–93 (Mi vmp343)  
This article is cited in 2 scientific papers (total in 2 papers)

Программирование

Some technological aspects of GPGPU applications in applied program systems

M. R. Galimova, E. V. Biryal'tsevb

a Joint Super Computer Center, Kazan Branch
b N. G. Chebotarev Research Institute of Mathematics and Mechanics, Kazan State University
Full-text PDF (414 kB) Citations (2)
Abstract: The problem of natural microseismic field analysis is considered. The performance of GPGPU technology is estimated when using single or multiple GPUs and various programming technologies, such as CUDA, JCuda and OpenCL. A comparison is made with the performance of the distributed memory cluster MVS-100K. The influence of several CUDA optimization techniques is estimated. The performance of a GPU cluster is studied with the use of several interprocessor communication technologies (MPI, MPJ, GridGain).
Keywords: high performance computing, parallel computing, GPGPU, Multi-GPU, microseisms.
Document Type: Article
UDC: 004.942:519.684:550.348.432
Language: Russian
Citation: M. R. Galimov, E. V. Biryal'tsev, “Some technological aspects of GPGPU applications in applied program systems”, Num. Meth. Prog., 11:3 (2010), 77–93
Citation in format AMSBIB
\Bibitem{GalBir10}
\by M.~R.~Galimov, E.~V.~Biryal'tsev
\paper Some technological aspects of GPGPU applications in applied program systems
\jour Num. Meth. Prog.
\yr 2010
\vol 11
\issue 3
\pages 77--93
\mathnet{http://mi.mathnet.ru/vmp343}
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  • https://www.mathnet.ru/eng/vmp/v11/i3/p77
    • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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