在gpu上运行NIM下一代天气模型

M. Govett, J. Middlecoff, T. Henderson
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引用次数: 69

摘要

我们正在使用gpu运行NOAA地球系统研究实验室(ESRL)正在开发的一个新的天气模型。并行化方法是在GPU上运行整个模型,并且只依赖CPU进行模型初始化、I/O和处理器间通信。我们编写了一个编译器来将Fortran转换为CUDA,并使用它来并行化模型的动态部分。动态是模型中计算最密集的部分,目前在单个GPU上的运行速度比CPU快34倍。我们还描述了迄今为止在多个gpu上运行NIM的方法和进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Running the NIM Next-Generation Weather Model on GPUs
We are using GPUs to run a new weather model being developed at NOAA’s Earth System Research Laboratory (ESRL). The parallelization approach is to run the entire model on the GPU and only rely on the CPU for model initialization, I/O, and inter-processor communications. We have written a compiler to convert Fortran into CUDA, and used it to parallelize the dynamics portion of the model. Dynamics, the most computationally intensive part of the model, is currently running 34 times faster on a single GPU than the CPU. We also describe our approach and progress to date in running NIM on multiple GPUs.
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