Solving the Klein-Gordon equation using Fourier spectral methods: a benchmark test for computer performance

S. Aseeri, O. Batrašev, M. Icardi, B. Leu, A. Liu, N. Li, B. K. Muite, Eike Müller, B. Palen, M. Quell, H. Servat, P. Sheth, R. Speck, M. Van Moer, J. Vienne

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Abstract

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 the Linpack benchmark, a high ranking will not be obtained by simply building a bigger computer.
Original languageEnglish
Title of host publicationHPC '15 Proceedings of the Symposium on High Performance Computing
Place of PublicationSan Diego, U. S. A.
PublisherSociety for Computer Simulation International
Pages182-191
Number of pages10
ISBN (Print)9781510801011
Publication statusPublished - 12 Apr 2015

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Keywords

  • cs.PF
  • cs.DC
  • math.NA

Cite this

Aseeri, S., Batrašev, O., Icardi, M., Leu, B., Liu, A., Li, N., ... 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 (pp. 182-191). San Diego, U. S. A.: Society for Computer Simulation International .