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Graphics Processing Units (GPUs) are quickly becoming viable alternatives for certain simulations currently run on CPUs. They are an attractive option because of their inherent parallelism: Like older vector-style supercomputers, they perform repeated calculations on large data sets by processing multiple elements at once. Performance is further improved by their built-in mathematical functions. This paper describes experiments comparing the performance of a GPU with that of a CPU for an astrophysical simulation, using NVIDIA's CUDA programming interface for the GPU.
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