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Design and Optimization of OpenFOAM-based CFD Applications for Hybrid and Heterogeneous HPC Platforms

Amani AlOnazi, David Keyes, Alexey Lastovetsky, Vladimir Rychkov
Extreme Computing Research Center, KAUST, Thuwal 23955-6900, Saudi Arabia
arXiv:1505.07630 [cs.DC], (28 May 2015)

@article{alonazi2015design,

   title={Design and Optimization of OpenFOAM-based CFD Applications for Hybrid and Heterogeneous HPC Platforms},

   author={AlOnazi, Amani and Keyes, David and Lastovetsky, Alexey and Rychkov, Vladimir},

   year={2015},

   month={may},

   archivePrefix={"arXiv"},

   primaryClass={cs.DC}

}

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Hardware-aware design and optimization is crucial in exploiting emerging architectures for PDE-based computational fluid dynamics applications. In this work, we study optimizations aimed at acceleration of OpenFOAM-based applications on emerging hybrid heterogeneous platforms. OpenFOAM uses MPI to provide parallel multi-processor functionality, which scales well on homogeneous systems but does not fully utilize the potential per-node performance on hybrid heterogeneous platforms. In our study, we use two OpenFOAM applications, icoFoam and laplacianFoam, both based on Krylov iterative methods. We propose a number of optimizations of the dominant kernel of the Krylov solver, aimed at acceleration of the overall execution of the applications on modern GPU-accelerated heterogeneous platforms. Experimental results show that the proposed hybrid implementation significantly outperforms the state-of-the-art implementation.
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