A proof of concept for very fast finite element Poisson solvers on accelerator hardware
dc.contributor.author | Ruda, Dustin | |
dc.contributor.author | Turek, Stefan | |
dc.contributor.author | Ribbrock, Dirk | |
dc.contributor.author | Zajac, Peter | |
dc.date.accessioned | 2022-03-08T09:08:06Z | |
dc.date.available | 2022-03-08T09:08:06Z | |
dc.date.issued | 2021-12-14 | |
dc.description.abstract | It 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.uri | http://hdl.handle.net/2003/40773 | |
dc.identifier.uri | http://dx.doi.org/10.17877/DE290R-22630 | |
dc.language.iso | en | de |
dc.relation.ispartofseries | Proceedings in applied mathematics and mechanics;21(1) | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject.ddc | 510 | |
dc.title | A proof of concept for very fast finite element Poisson solvers on accelerator hardware | en |
dc.type | Text | de |
dc.type.publicationtype | article | de |
dcterms.accessRights | open access | |
eldorado.secondarypublication | true | de |
eldorado.secondarypublication.primarycitation | Ruda, 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.202100091 | de |
eldorado.secondarypublication.primaryidentifier | https://doi.org/10.1002/pamm.202100091 | de |
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