001018549 001__ 1018549
001018549 005__ 20231213202050.0
001018549 0247_ $$2doi$$a10.1145/3624062.3624179
001018549 0247_ $$2datacite_doi$$a10.34734/FZJ-2023-04877
001018549 037__ $$aFZJ-2023-04877
001018549 1001_ $$0P:(DE-Juel1)198707$$aSchlepphorst, Simon$$b0$$eCorresponding author$$ufzj
001018549 1112_ $$aSC-W 2023: Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis$$cDenver CO USA$$d2023-11-12 - 2023-11-17$$wUSA
001018549 245__ $$aBenchmarking a portable lattice quantum chromodynamics kernel written in Kokkos and MPI
001018549 260__ $$bACM New York, NY, USA$$c2023
001018549 29510 $$aProceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis - ACM New York, NY, USA, 2023. - ISBN 9798400707858 - doi:10.1145/3624062.3624179
001018549 300__ $$a1027–1037
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001018549 520__ $$aSimulations of Lattice Quantum Chromodynamics (LQCD) are an important application (two digit percentage of cycles) on major High Performance Computing (HPC) installations, including systems high up on and leading the top500 list. In the rapidly changing hardware landscape of HPC, tying up manpower optimizing simulation software for every architecture becomes a sustainability issue. In this work we explore the feasibility of using performance portable parallel code for an important LQCD kernel. Fusing the Kokkos C++ Performance Portability EcoSystem with MPI allows applications to scale on massive parallel machines while still being able to target a plentitude of different architectures with the same simple code. We report on benchmarking results for a range of currently deployed and recently introduced systems, including AMD EPYC 7742, AMD MI250, Fujitsu A64FX, Nvidia A100 and Nvidia H100 components, with mostly encouraging results.
001018549 536__ $$0G:(DE-HGF)POF4-5111$$a5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
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001018549 7001_ $$0P:(DE-Juel1)132171$$aKrieg, Stefan$$b1
001018549 773__ $$a10.1145/3624062.3624179
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001018549 9141_ $$y2023
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