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Computer Research and Modeling, 2010, Volume 2, Issue 2, Pages 163–167
DOI: https://doi.org/10.20537/2076-7633-2010-2-2-163-167 (Mi crm591) 		 
This article is cited in 1 scientific paper (total in 1 paper)

ANALYSIS AND MODELING OF COMPLEX LIVING SYSTEMS

GPU-accelerated hybrid systems for high-performance computing in bio-informatics

A. R. Dzhoraev

NVIDIA Russia & CIS, 7th floor, Arbat 10, Moscow, 119002, Russia
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DOI: https://doi.org/10.20537/2076-7633-2010-2-2-163-167
Abstract: Modern GPUs are massively-parallel processors, offering substantial amount of computational power in energy-efficient package. We discuss the benefits of utilizing this computing power for modeling problems in bio-informatics, such as molecular dynamics, quantum chemistry and sequence analysis.
Keywords: GPU, bioinformatics, molecular dynamics, quantum chemistry, sequence analysis.
Received: 31.05.2010
Document Type: Article
UDC: 004.942
Language: Russian
Citation: A. R. Dzhoraev, “GPU-accelerated hybrid systems for high-performance computing in bio-informatics”, Computer Research and Modeling, 2:2 (2010), 163–167
Citation in format AMSBIB
\Bibitem{Dzh10}
\by A.~R.~Dzhoraev
\paper GPU-accelerated hybrid systems for high-performance computing in bio-informatics
\jour Computer Research and Modeling
\yr 2010
\vol 2
\issue 2
\pages 163--167
\mathnet{http://mi.mathnet.ru/crm591}
\crossref{https://doi.org/10.20537/2076-7633-2010-2-2-163-167}
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    • This publication is cited in the following 1 articles:
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    		Computer Research and Modeling
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