The Optimal Processor Cores’ Number Research for the Parallel Cluster Multiple Labeling Technique
Tóm tắt
The article is about the research of a optimum number of processor cores for launching the Parallel Cluster Multiple Labeling Technique in the course of conducting simulation experiments during multi-agent modeling of the spread of mass epidemics on modern supercomputer systems installed in the JSCC RAS. This technique may be used in any field as a tool for differentiating large lattice clusters, because it is given input in a format independent of the application. At the JSCC RAS, this tool was used to study the problem of the spread of epidemics, for which an appropriate multiagent model was developed.
Tài liệu tham khảo
World Health Organization Homepage. https://www.who.int/. Accessed May 14, 2020.
R. S. Kalikhman and Yu. A. Shebeko, ‘‘Simulating the growth of percolation clusters on computers with a strongly pronounced parallel architecture,’’ Vychisl. Tekhnol., Sb. Nauch. Tr. SO RAN 4 (10) (1995).
M. Kondratev, R. Ivanovskii, and L. Tsybalova, ‘‘Application of an agent approach to simulation modeling of the disease spread process,’’ Nauch.-Tekh. Vedom. SPb Politekh. Univ., No. 2-2 (100), 189–195 (2010).
Yu. Yu. Tarasevich, Percolation: Theory, Applications, Algorithms (URSS, Moscow, 2002) [in Russian].
I. Utakaeva, ‘‘Simulation of the spread of epidemics based on the agent approach,’’ Politem. Setev. El. Nauch. Zh. KubGAU 121, 1369 (2016). http://ej.kubagro.ru/2016/07/pdf/85.pdf. Accessed March 11, 2020.
M. Klinov, S. Lapshina, P. Telegin, and B. Shabanov, ‘‘Features of the use of multi-core processors in scientific computing,’’ Vestn. UGATU 16 (6), 25–31 (2012).
S. Yu. Lapshina, ‘‘High-performance computations in multi-agent simulation problems of percolation cluster behavior,’’ Lobachevskii J. Math. 40, 341–348 (2019).
S. Yu. Lapshina, ‘‘Parallel cluster multiple labeling technique,’’ Lobachevskii J. Math. 40 (5), 555–561 (2019).