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Hardware-aware design and optimization is crucial in exploiting emergingarchitectures for PDE-based computational fluid dynamics applications. In thiswork, we study optimizations aimed at acceleration of OpenFOAM-basedapplications on emerging hybrid heterogeneous platforms. OpenFOAM uses MPI toprovide parallel multi-processor functionality, which scales well onhomogeneous systems but does not fully utilize the potential per-nodeperformance on hybrid heterogeneous platforms. In our study, we use twoOpenFOAM applications, icoFoam and laplacianFoam, both based on Kryloviterative methods. We propose a number of optimizations of the dominant kernelof the Krylov solver, aimed at acceleration of the overall execution of theapplications on modern GPU-accelerated heterogeneous platforms. Experimentalresults show that the proposed hybrid implementation significantly outperformsthe state-of-the-art implementation.

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