Abstract
This paper presents the results obtained by the authors on applying an integrated approach to solving geoseismics, astrophysics, and plasma physics problems on high-performance computers. The concept of the integrated approach in the context of mathematical modeling of physical processes is understood as constructing a physico-mathematical model of a phenomenon, a numerical method, a parallel algorithm and its software implementation with the efficient use of a supercomputer architecture. With this approach, it becomes relevant to compare not only the methods of solving a problem but, also, physical and mathematical statements of a problem aimed at creating the most effective implementation of a chosen computing architecture. The scalability of algorithms is investigated using the multi-agent system AGNES simulating the behavior of computing nodes based on the current state of computer equipment characteristics. In addition, special attention in this paper is given to the energy efficiency of algorithms.
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Acknowledgments
This work was supported by the Russian Foundation for Basic Research, grants 15-01-00508, 16-29-15120, 16-07-00434, 16-01-00455 and the Grants of the President of the Russian Federation for the support of young scientists MK – 1445.2017.9, MK – 152.2017.5. The plasma code development was supported by the Russian Science Foundation under grant 16-11-10028.
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Glinskiy, B., Kulikov, I., Chernykh, I., Snytnikov, A., Sapetina, A., Weins, D. (2017). The Integrated Approach to Solving Large-Size Physical Problems on Supercomputers. In: Voevodin, V., Sobolev, S. (eds) Supercomputing. RuSCDays 2017. Communications in Computer and Information Science, vol 793. Springer, Cham. https://doi.org/10.1007/978-3-319-71255-0_22
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