Solving the Klein-Gordon equation using Fourier spectral methods:a benchmark test for computer performance
| Autor: | Aseeri, S., Batrašev, O., Icardi, M., Leu, B., Liu, A., Li, N., Muite, B. K., Müller, E., Palen, B., Quell, M., Servat, H., Sheth, P., Robert Speck, Moer, M., Vienne, J. |
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| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Performance (cs.PF)
FOS: Computer and information sciences Computer Science - Performance cs.DC math.NA Computer Science - Distributed Parallel and Cluster Computing FOS: Mathematics Mathematics - Numerical Analysis Distributed Parallel and Cluster Computing (cs.DC) Numerical Analysis (math.NA) cs.PF |
| Zdroj: | Aseeri, S, Batrašev, O, Icardi, M, Leu, B, Liu, A, Li, N, Muite, B K, Müller, E, Palen, B, Quell, M, Servat, H, Sheth, P, Speck, R, Moer, M V & Vienne, J 2015, Solving the Klein-Gordon equation using Fourier spectral methods : a benchmark test for computer performance . in HPC '15 Proceedings of the Symposium on High Performance Computing . Society for Computer Simulation International, San Diego, U. S. A., pp. 182-191 . Scopus-Elsevier |
| Popis: | The cubic Klein-Gordon equation is a simple but non-trivial partial differential equation whose numerical solution has the main building blocks required for the solution of many other partial differential equations. In this study, the library 2DECOMP&FFT is used in a Fourier spectral scheme to solve the Klein-Gordon equation and strong scaling of the code is examined on thirteen different machines for a problem size of 512^3. The results are useful in assessing likely performance of other parallel fast Fourier transform based programs for solving partial differential equations. The problem is chosen to be large enough to solve on a workstation, yet also of interest to solve quickly on a supercomputer, in particular for parametric studies. Unlike other high performance computing benchmarks, for this problem size, the time to solution will not be improved by simply building a bigger supercomputer. 10 pages |
| Databáze: | OpenAIRE |
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