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001030182 0247_ $$2datacite_doi$$a10.34734/FZJ-2024-05240
001030182 037__ $$aFZJ-2024-05240
001030182 1001_ $$0P:(DE-Juel1)164813$$aBadwaik, Jayesh$$b0$$eCorresponding author$$ufzj
001030182 1112_ $$aISC High Performance 2023$$cHamburg$$d2023-05-22 - 2023-05-25$$gISC23$$wGermany
001030182 245__ $$aOptimizing an LBM Application Using CUDA Graphs
001030182 260__ $$c2023
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001030182 520__ $$aWith increasing focus on scalability and performance of high performance computing applications, it has become important for the simulation softwares to be able to utilize the underlying hardware as comprehensively to its maximum performance. waLBerla is a multiphysics software framework that has achieved high scalability and performance. It achieves this excellent performance due to architecture specific code generation algorithms combined with efficient communication and parallel data structures like BlockForest. In this work, we attempt to improve the GPU utilization of an Lattice-Boltzmann Method (LBM) software.
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001030182 536__ $$0G:(EU-Grant)956000$$aSCALABLE - SCAlable LAttice Boltzmann Leaps to Exascale (956000)$$c956000$$fH2020-JTI-EuroHPC-2019-1$$x1
001030182 536__ $$0G:(DE-Juel-1)ATML-X-DEV$$aATML-X-DEV - ATML Accelerating Devices (ATML-X-DEV)$$cATML-X-DEV$$x2
001030182 7001_ $$0P:(DE-Juel1)145478$$aHerten, Andreas$$b1$$ufzj
001030182 7001_ $$0P:(DE-HGF)0$$aVeneva, Milena$$b2
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001030182 9141_ $$y2024
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