ISSN 0021-3454 (print version)
ISSN 2500-0381 (online version)
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vol 65 / June, 2022
Article

DOI 10.17586/0021-3454-2016-59-12-1052-1054

UDC 519.688

PARALLEL SIMULATION OF ADAPTIVE RANDOM BOOLEAN NETWORKS USING THE GPGPU TECHNOLOGY

K. O. Bochenina
ITMO University, Saint Petersburg, 197101, Russian Federation; junior researcher


J. Holyst
Center of Excellence “Complex Systems Research”, University of Warsaw, Warsaw, 00-661, Poland; Director


K. V. Kuvshinov
ITMO University; Student


P. Gorsky
Warsaw Polytechnic University; Scientist


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Abstract. A parallel algorithm for modeling random Boolean network (RBN) evolution with the use of the GPGPU technology is described. The influence of constraints on the length of attractors in modeling evolution is analyzed. Distribution of attractors length and the values of the average vertex outdegree for critical adaptive RBN derived with the use of proposed algorithm are presented.
Keywords: random Boolean network, GPGPU, regulatory network

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