Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/55568
Title: Reducing cache miss rate using thread oversubscription to accelerate an MPI-OpenMP-based 2-D Hopmoc method
Keywords: Parallel computing
OpenMP
MPI
High performance computing
Thread oversubscription
Message passing interface (MPI)
Issue Date: 15-Jul-2022
Publisher: Springer
Citation: CABRAL, F. L.; OSTHOFF, C.; OLIVEIRA, S. L. G. Reducing cache miss rate using thread oversubscription to accelerate an MPI-OpenMP-Based 2-D Hopmoc method. In: International Conference on Computational Science and its Applications: ICCSA 2022, 22., 2022. Proceedings [...]. [S.l.]: Springer, 2022. DOI: 10.1007/978-3-031-10522-7_24. Part of the Lecture Notes in Networks and Systems (LNNS, v. 13375, p. 337-353). Disponível em: https://link.springer.com/chapter/10.1007/978-3-031-10522-7_24. Acesso em: 24 nov. 2022.
Abstract: This paper applies the MPI-OpenMP-based two-dimensional Hopmoc method using the explicit work-sharing technique with a recently proposed mechanism to reduce implicit barriers in OpenMP. Specifically, this paper applies the numerical algorithm to yield approximate solutions to the advection-diffusion equation. Additionally, this article splits the mesh used by the numerical method and distributes them to over-allocated threads. The mesh partitions became so small that the approach reduced the cache miss rate. Consequently, the strategy accelerated the numerical method in multicore systems. This paper then evaluates the results of implementing the strategy under different metrics. As a result, the set of techniques improved the performance of the parallel numerical method.
Description: Trabalho apresentado em evento como resultado de projeto de pesquisa em colaboração com a equipe da Universidade Federal Fluminense (UFF), CEFET-RJ e a UFLA (Universidade Federal de Lavras-MG).
URI: http://repositorio.ufla.br/jspui/handle/1/55568
Appears in Collections:DCC - Trabalhos apresentados em eventos

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