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Prikladnaya Diskretnaya Matematika, 2013, Number 2(20), Pages 50–58 (Mi pdm413)  

Mathematical Foundations of Informatics and Programming

Mapping parallel programs onto multicore computers by recurrent neural networks

M. S. Tarkov

Rzhanov Institute of Semiconductor Physics of SB RAS, Novosibirsk, Russia
References:
Abstract: The problem of mapping a parallel program with weighted vertices (processes) and edges (interprocess exchanges) onto a weighted graph of the distributed computer system is considered. An algorithm for solving this problem based on the use of Hopfield networks is proposed. The algorithm has been tested on mapping a number of graphs of parallel programs onto multicore computer. Experiments have shown that the proposed algorithm provides well-balanced sub-optimal mappings.
Keywords: graphs of parallel programs, multicore systems, neural networks, Hopfield networks.
Document Type: Article
UDC: 004.032.26(06)
Language: Russian
Citation: M. S. Tarkov, “Mapping parallel programs onto multicore computers by recurrent neural networks”, Prikl. Diskr. Mat., 2013, no. 2(20), 50–58
Citation in format AMSBIB
\Bibitem{Tar13}
\by M.~S.~Tarkov
\paper Mapping parallel programs onto multicore computers by recurrent neural networks
\jour Prikl. Diskr. Mat.
\yr 2013
\issue 2(20)
\pages 50--58
\mathnet{http://mi.mathnet.ru/pdm413}
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  • https://www.mathnet.ru/eng/pdm/y2013/i2/p50
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