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- W2330378056 abstract "The implementation of an edge-based three-dimensional RANS equations solver for unstructured grids that runs on multiple graphics processing units (GPUs) is presented. The loops over edges, which are the most time consuming parts of the solver, have been written to exploit the massively parallel capabilities of the GPUs. We have used nonblocking communications between parallel processes and between the GPU and the CPU to enhance the code scalability and delay the parallel speed-up asymptote as much as possible. The code is written using a mixture of C++ and OpenCL, the latter being used to execute pieces of code on the GPU. It has been parallelized using MPI. The code is executed on two clusters, one made of CPUs and another made of GPUs. Comparisons between CPU and GPU execution times show that the GPU implementation is roughly 20 times faster than its CPU counterpart. The parallel scalability of the solver is also discussed. Some steady and unsteady multistage turbomachinery cases are presented." @default.
- W2330378056 created "2016-06-24" @default.
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- W2330378056 date "2013-06-22" @default.
- W2330378056 modified "2023-09-29" @default.
- W2330378056 title "Computation of Turbomachinery Flows with a Parallel Unstructured Mesh Navier-Stokes equations Solver on GPUs" @default.
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- W2330378056 doi "https://doi.org/10.2514/6.2013-2864" @default.
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