Abstract
We propose in this paper an integrated approach to creating algorithms and software to simulate seismic problems. Our extended co-design concept considers supercomputer architecture at all stages, beginning with the physical and mathematical formulation of the problem, and then developing an algorithm and code. In particular, we compare the efficiency of the parallel implementation (on a supercomputer equipped with GPU) of algorithms for solving two mathematical statements of dynamic elasticity problem for the numerical modeling of seismic wave fields in 3D media, which is typical of volcanic structures.
The scalability of the algorithms is investigated using the multi-agent system AGNES to simulate the behavior of computational nodes based on the current state of computer equipment characteristics. We present the results obtained for the efficiency of the implementation of the algorithms when using millions of cores. Also, we assess the energy efficiency of these algorithms.
This work was supported by the Russian Foundation for Basic Research, grants No. 16-29-15120, No. 16-07-00434, No. 16-01-00455, and a grant of the Russian Ministry of Education No. MK-152.2017.5.
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Glinskiy, B., Sapetina, A., Martynov, V., Weins, D., Chernykh, I. (2017). The Hybrid-Cluster Multilevel Approach to Solving the Elastic Wave Propagation Problem. In: Sokolinsky, L., Zymbler, M. (eds) Parallel Computational Technologies. PCT 2017. Communications in Computer and Information Science, vol 753. Springer, Cham. https://doi.org/10.1007/978-3-319-67035-5_19
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