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Computational nanotechnology, 2015, Issue 4, Pages 6–17
(Mi cn47)
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TECHNOLOGY COMPUTATIONAL PROCESSING
Survey of large-scale graph processing models for high perfomance computing systems
A. S. Frolov, A. S. Semenov, A. S. Markov JSC SRCECT
Abstract:
In the paper a survey of perspective programming models for large-scale graph processing is presented. For analysis the following models have been selected: Parallel Boost Graph Library, Active Pebbles, Grappa, Parallex/HPX-5, and Charm++. Programming models as well as most important aspects of its implementation are presented in the analysis.
Keywords:
parallel graph computation, program models, computation models, supercomputers, exascale.
Citation:
A. S. Frolov, A. S. Semenov, A. S. Markov, “Survey of large-scale graph processing models for high perfomance computing systems”, Comp. nanotechnol., 2015, no. 4, 6–17
Linking options:
https://www.mathnet.ru/eng/cn47 https://www.mathnet.ru/eng/cn/y2015/i4/p6
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Statistics & downloads: |
Abstract page: | 150 | Full-text PDF : | 69 | References: | 40 |
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