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ow simulations. Supersonic jet noise simulations require the accurate representation of complex nozzle geometry and thus the use of unstructured grids. While such a grid representation is crucial for the accurate representation of the nozzle geometry, it has the disadvantage of introducing a highly irregular memory access pattern, which violates GPU coalescing requirements resulting in an inecient use of the otherwise high memory bandwidth of GPUs and therefore a bottleneck in computational performance. In order to mitigate this performance bottleneck, a hybrid grid representation is implemented which allows for augmenting the unstructured grid representation in the vicinity of complex nozzle geometry with an ecient structured grid representation in other regions of the ow domain, which is able to fulll GPU coalescing requirements, and thus achieve a signicant improvement in computational performance, leading to a reduction in simulation turnaround time.

A Hybrid Grid Compressible Flow Solver for Large-Scale Supersonic Jet Noise Simulations on Multi-GPU Clusters