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Complete PISO and SIMPLE solvers on Graphics Processing Units

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arxiv 1207.1571 v1 pith:MHA3ASOI submitted 2012-07-06 cs.DC

Tadeusz Tomczak , Katarzyna Zadarnowska , Zbigniew Koza , Maciej Matyka , {L}ukasz Miros{l}aw This is my paper · ORCID
classification cs.DC
keywords equationsgpusgraphicsimplementationimplementedpisoprocessingsimple
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We implemented the pressure-implicit with splitting of operators (PISO) and semi-implicit method for pressure-linked equations (SIMPLE) solvers of the Navier-Stokes equations on Fermi-class graphics processing units (GPUs) using the CUDA technology. We also introduced a new format of sparse matrices optimized for performing elementary CFD operations, like gradient or divergence discretization, on GPUs. We verified the validity of the implementation on several standard, steady and unsteady problems. Computational effciency of the GPU implementation was examined by comparing its double precision run times with those of essentially the same algorithms implemented in OpenFOAM. The results show that a GPU (Tesla C2070) can outperform a server-class 6-core, 12-thread CPU (Intel Xeon X5670) by a factor of 4.2.

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  1. Building an Accelerated OpenFOAM Proof-of-Concept Application using Modern C++

    cs.MS 2025-07 conditional novelty 6.0 of 10

    OpenFOAM's laplacianFoam assembly can be offloaded to NVIDIA GPUs with C++17 parallel algorithms, giving up to about 11x speedup when memory-pool allocator settings are tuned.

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