A Proof of Concept for Very Fast Finite Element Poisson Solvers on Accelerator Hardware

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dc.contributor.authorRuda, Dustin
dc.contributor.authorTurek, Stefan
dc.contributor.authorRibbrock, Dirk
dc.contributor.authorZajac, Peter
dc.date.accessioned2021-07-06T12:14:54Z
dc.date.available2021-07-06T12:14:54Z
dc.date.issued2021-06
dc.description.abstractIt is demonstrated that modern accelerator hardware specialized in AI, e.g., “next gen GPUs” equipped with Tensor Cores, can be profitably used in finite element simulations by means of a new hardware-oriented method to solve linear systems arising from Poisson’s equation in 2D. We consider the NVIDIA Tesla V100 Tensor Core GPU with a peak performance of 125 TFLOP/s, that is only achievable in half precision and if operations with high arithmetic intensity, such as dense matrix multiplications, are executed, though. Its computing power can be exploited to a great extent by the new method based on “prehandling” without loss of accuracy. We obtain a significant reduction of computing time compared to a standard geometric multigrid solver on standard x64 hardware.en
dc.identifier.issn2190-1767
dc.identifier.urihttp://hdl.handle.net/2003/40294
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-22167
dc.language.isoen
dc.relation.ispartofseriesErgebnisberichte des Instituts für Angewandte Mathematik;645
dc.subject.ddc610
dc.titleA Proof of Concept for Very Fast Finite Element Poisson Solvers on Accelerator Hardwareen
dc.typeText
dc.type.publicationtypepreprint
dcterms.accessRightsopen access
eldorado.secondarypublicationfalse

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