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

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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
Citation in English: Dzhoraev A.R. GPU-accelerated hybrid systems for high-performance computing in bio-informatics // Computer Research and Modeling, 2010, vol. 2, no. 2, pp. 163-167
Citation in English: Dzhoraev A.R. GPU-accelerated hybrid systems for high-performance computing in bio-informatics // Computer Research and Modeling, 2010, vol. 2, no. 2, pp. 163-167
DOI: 10.20537/2076-7633-2010-2-2-163-167
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