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dc.contributor.authorRuda, Dustin-
dc.contributor.authorTurek, Stefan-
dc.contributor.authorRibbrock, Dirk-
dc.contributor.authorZajac, Peter-
dc.date.accessioned2022-03-08T09:08:06Z-
dc.date.available2022-03-08T09:08:06Z-
dc.date.issued2021-12-14-
dc.identifier.urihttp://hdl.handle.net/2003/40773-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-22630-
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.language.isoende
dc.relation.ispartofseriesProceedings in applied mathematics and mechanics;21(1)-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subject.ddc510-
dc.titleA proof of concept for very fast finite element Poisson solvers on accelerator hardwareen
dc.typeTextde
dc.type.publicationtypearticlede
dcterms.accessRightsopen access-
eldorado.secondarypublicationtruede
eldorado.secondarypublication.primaryidentifierhttps://doi.org/10.1002/pamm.202100091de
eldorado.secondarypublication.primarycitationRuda, D., Turek, S., Ribbrock, D. and Zajac, P. (2021), A Proof of Concept for Very Fast Finite Element Poisson Solvers on Accelerator Hardware. Proc. Appl. Math. Mech., 21: e202100091. https://doi.org/10.1002/pamm.202100091de
Appears in Collections:Lehrstuhl III Angewandte Mathematik und Numerik



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