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We present computational performance comparisons of gas-solid simulationsperformed on current CPU and GPU architectures using MFiX Exa, a CFD-DEM solverthat leverages hybrid CPU+GPU parallelism. A representative fluidized bedsimulation with varying particle numbers from 2 to 67 million is used tocompare serial and parallel performance. A single GPU was observed to be about10 times faster compared to a single CPU core. The use of 3 GPUs on a singlecompute node was observed to be 4x faster than using all 64 CPU cores. We alsoobserved that using an error controlled adaptive time stepping scheme forparticle advance provided a consistent 4x speed-up on both CPUs and GPUs. Weakscaling results indicate superior parallel efficiencies when using GPUscompared to CPUs for the problem sizes studied in this work.

Performance comparison of CFD-DEM solver MFiX-Exa, on GPUs and CPUs