DOI 10.17586/0021-3454-2016-59-12-1052-1054
UDC 519.688
PARALLEL SIMULATION OF ADAPTIVE RANDOM BOOLEAN NETWORKS USING THE GPGPU TECHNOLOGY
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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