Turbulent Parameterization for Ccatt-Brams by GPU
DOI:
https://doi.org/10.5902/2179460X11600Abstract
Uma estratégia para aumentar o desempenho de códigos computacionais é o uso de computação híbrida, que combina CPU com GPU e/ou FPGA. Duas parametrizações de turbulência, Smagorinsky e Mellor-Yamada, foram codificadas em GPU para o código CATT-BRAMS:. O padrão CUDA foi usado na implementação. Os resultados mostram um aumento significativo no speed-up do modelo.Downloads
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