Performance Comparison of CFD Microbenchmarks on Diverse HPC Architectures

OpenFOAM is a CFD software widely used in both industry and academia. The exaFOAM project aims at enhancing the HPC scalability of OpenFOAM, while identifying its current bottlenecks and proposing ways to overcome them. For the assessment of the software components and the code profiling during the...

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Published in:Computers (Basel) Vol. 13; no. 5; p. 115
Main Authors: Galeazzo, Flavio C. C., Garcia-Gasulla, Marta, Boella, Elisabetta, Pocurull, Josep, Lesnik, Sergey, Rusche, Henrik, Bnà, Simone, Cerminara, Matteo, Brogi, Federico, Marchetti, Filippo, Gregori, Daniele, Weiß, R. Gregor, Ruopp, Andreas
Format: Journal Article
Language:English
Published: Basel MDPI AG 01-05-2024
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Summary:OpenFOAM is a CFD software widely used in both industry and academia. The exaFOAM project aims at enhancing the HPC scalability of OpenFOAM, while identifying its current bottlenecks and proposing ways to overcome them. For the assessment of the software components and the code profiling during the code development, lightweight but significant benchmarks should be used. The answer was to develop microbenchmarks, with a small memory footprint and short runtime. The name microbenchmark does not mean that they have been prepared to be the smallest possible test cases, as they have been developed to fit in a compute node, which usually has dozens of compute cores. The microbenchmarks cover a broad band of applications: incompressible and compressible flow, combustion, viscoelastic flow and adjoint optimization. All benchmarks are part of the OpenFOAM HPC Technical Committee repository and are fully accessible. The performance using HPC systems with Intel and AMD processors (x86_64 architecture) and Arm processors (aarch64 architecture) have been benchmarked. For the workloads in this study, the mean performance with the AMD CPU is 62% higher than with Arm and 42% higher than with Intel. The AMD processor seems particularly suited resulting in an overall shorter time-to-solution.
ISSN:2073-431X
2073-431X
DOI:10.3390/computers13050115