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Multiple-GPUs Algorithm for Lattice Boltzmann Method

Jifu Zhou, Chengwen Zhong, Jianfei Xie, Shiqun Yin
Center for High Performance Comput., Northwestern Polytech. Univ., Xian
International Symposium on Information Science and Engineering, 2008. ISISE ’08

@inproceedings{zhou2008multiple,

   title={Multiple-GPUs Algorithm for Lattice Boltzmann Method},

   author={Zhou, J. and Zhong, C. and Xie, J. and Yin, S.},

   booktitle={Information Science and Engineering, 2008. ISISE’08. International Symposium on},

   volume={2},

   pages={793–796},

   year={2008},

   organization={IEEE}

}

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It is studied about parallel algorithm of lattice Boltzmann method. The data’s arrangement, commutation and computational progress are redesigned in a marriage of message passing interface and general purpose graphic processing Units. On the single-GPU, novel techniques appearing in shader model 3.0 such as frame buffer object (FBO), multiple-channels-rendering and, rendering-to-textures are used to improve computational efficiency. On multiple-GPUs, MPI is used to extend available mesh size and accomplish parallel algorithm. Consequently, the problem of excessively enormous mesh such as the size of 1024*1024, which could not be calculated on single GPU, is resolved in this paper. Moreover, the computational time of the instance-velocity vector of incompressible fluid is merely 0.585 second/step, a speed which is about 5.0 times faster than that of a single CPU implementation.
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