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Multi-GPU implementation of the NICAM atmospheric model

Irina Demeshko, Naoya Maruyama, Hirofumi Tomita, Satoshi Matsuoka
Tokyo Institute of Technology, Tokyo, Japan
Tenth International Workshop Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (HeteroPar’12), 2012

@article{demeshko2012multi,

   title={Multi-GPU implementation of the NICAM atmospheric model},

   author={Demeshko, I. and Maruyama, N. and Tomita, H. and Matsuoka, S.},

   year={2012}

}

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Climate simulation models are used for a variety of scientific problems and accuracy of the climate prognoses is mostly limited by the resolution of the models. Finer resolution results in more accurate prognoses but, at the same time, significantly increases computational complexity. This explains the increasing interest to the High Performance Computing (HPC), and GPU computations in particular, for the climate simulations. We present an efficient implementation of the Nonhydrostatic ICosahedral Atmospheric Model (NICAM) on the multi-GPU environment. We have obtained performance results for the number of GPUs up to 320. These results were compared with the parallel CPU version and demonstrate that our GPU implementation gives 3 times higher performance over parallel CPU version. We have also developed and validated the performance model for a full-GPU implementation of the NICAM. Results show 4.5x potential acceleration over parallel CPU. We believe that our results are general, in that in similar applications we could achieve similar speedups, and have the ability to predict its degree over CPUs.
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