Performance Comparison of HPX Versus Traditional Parallelization Strategies for the Discontinuous Galerkin Method

Autor: Hartmut Kaiser, Maximilian H. Bremer, Clint Dawson, Craig Michoski, Kazbek Kazhyken
Rok vydání: 2019
Předmět:
Zdroj: Journal of Scientific Computing. 80:878-902
ISSN: 1573-7691
0885-7474
Popis: As high performance computing moves towards the exascale computing regime, applications are required to expose increasingly fine grain parallelism to efficiently use next generation supercomputers. Intended as a solution to the programming challenges associated with these architectures, High Performance ParalleX (HPX) is a task-based C++ runtime, which emphasizes the use of lightweight threads and algorithm-dependent synchronization to maximize parallelism exposed by the application to the machine. The aim of this work is to explore the performance benefits of an HPX parallelization versus a MPI parallelization for the discontinuous Galerkin finite element method for the two-dimensional shallow water equations. We present strong and weak scaling results comparing the performance of HPX versus a MPI parallelization strategy on Knights Landing architectures. Our results indicate that for average task sizes of $$3.6\,{\mathrm {m s}}$$ , HPX’s runtime overhead is offset by more efficient execution of the application. Furthermore, we demonstrate that running with sufficiently large task granularity, HPX is able to outperform the MPI parallelization by a factor of approximately 1.2 for up to 128 nodes.
Databáze: OpenAIRE
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