What question did this study set out to answer?

This work aims to port OpenFOAM to GPUs using the C++17 stdpar model to enhance computational efficiency in CFD simulations.

March 29, 2026Open Access

Cross-platform Programming Model for GPU Implementation of OpenFOAM Using ISO C++

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This work aims to port OpenFOAM to GPUs using the C++17 stdpar model to enhance computational efficiency in CFD simulations.
Ported OpenFOAM to GPUs using ISO C++17
Replaced serial loops with stdpar constructs
Tested on NVIDIA and AMD systems
Conducted experiments across multiple solver configurations
Achieved speedups ranging from 0.4× to 7.7× relative to a 32-core CPU
Performance varied based on boundary condition complexity and turbulence modeling
Demonstrated effectiveness across four test cases including 3D lid-driven cavity and HPC motorbike

Authors

MKMayank Kumar JCJony CastagnaUniversity of Liverpool MJMattijs JanssensKeysight Technologies (United States)

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Implication

Performance analysis shows improved simulation speed in computational fluid dynamics using GPU-based OpenFOAM implementations, highlighting efficiency gains.

Cite This Study

Kumar et al. (2026) studied this question.

synapsesocial.com/papers/69c8c2d1de0f0f753b39d441 https://doi.org/10.5281/zenodo.19257543

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Implication

Performance analysis shows improved simulation speed in computational fluid dynamics using GPU-based OpenFOAM implementations, highlighting efficiency gains.

Cross-platform Programming Model for GPU Implementation of OpenFOAM Using ISO C++

Key Points

Discussion

Implication

Cite This Study

Cross-platform Programming Model for GPU Implementation of OpenFOAM Using ISO C++

Key Points

Discussion

Implication

Cite This Study

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