Hybrid Parallelism in Finite Volume Based Algorithms in Application to Two-Dimensional Scattering Problem Setting
العنوان: | Hybrid Parallelism in Finite Volume Based Algorithms in Application to Two-Dimensional Scattering Problem Setting |
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المؤلفون: | R. R. Zagidullin, Yury Shestopalov, Sergey A. Matveev, S. G. Rykovanov, Alexander Smirnov |
المصدر: | Computational Mathematics and Modeling. 31:355-363 |
بيانات النشر: | Springer Science and Business Media LLC, 2020. |
سنة النشر: | 2020 |
مصطلحات موضوعية: | Speedup, Finite volume method, Xeon, Computer science, Computation, Parallel algorithm, ComputerSystemsOrganization_PROCESSORARCHITECTURES, Supercomputer, 01 natural sciences, 010101 applied mathematics, Computational Mathematics, CUDA, 0103 physical sciences, 010307 mathematical physics, 0101 mathematics, Problem set, Algorithm |
الوصف: | We analyze the parallelism particularities of finite volume based computational algorithms. We use a problem set from electrodynamics and parallelize its solution. It serves as an example and illustration of our findings. The tests are carried out on the Zhores supercomputer. The hardware used to run parallel algorithms includes Nvidia Tesla V100 GPUs and Intel Xeon CPUs. We find that finite volume method discretizations work well with parallelization on GPUs. The speedup can be increased by proper CUDA optimizations. However, it is very resource consuming to perform all computations on supercomputer GPUs if the problem size is exceptionally big. Hence, it is necessary to harness every processing power that a supercomputer can offer including CPUs. We offer ways to parallelize the posed problem in a hybrid fashion. |
تدمد: | 1573-837X 1046-283X |
DOI: | 10.1007/s10598-020-09496-6 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::a3fb329798d8c3de7c4f50f42060222a https://doi.org/10.1007/s10598-020-09496-6 |
Rights: | CLOSED |
رقم الانضمام: | edsair.doi...........a3fb329798d8c3de7c4f50f42060222a |
قاعدة البيانات: | OpenAIRE |
تدمد: | 1573837X 1046283X |
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DOI: | 10.1007/s10598-020-09496-6 |