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Accelerating the Sweep3D for a Graphic Processor Unit

Chunye Gong, Jie Liu, Haitao Chen, Jing Xie, Zhenghu Gong
Department of Computer Sciences, National University of Defense Technology, Changsha, P.R. China
The Journal of Information Processing Systems, Volume 7, Number 1 (March 2011), p.63-74

@article{gong2011accelerating,

   title={Accelerating the Sweep3D for a Graphic Processor Unit},

   author={Gong, C. and Liu, J. and Chen, H. and Xie, J. and Gong, Z.},

   journal={The Journal of Information Processing Systems},

   volume={7},

   issn={1976-913X},

   pages={63–74},

   year={2011}

}

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As a powerful and flexible processor, the Graphic Processing Unit (GPU) can offer a great faculty in solving many high-performance computing applications. Sweep3D, which simulates a single group time-independent discrete ordinates (Sn) neutron transport deterministically on 3D Cartesian geometry space, represents the key part of a real ASCI application. The wavefront process for parallel computation in Sweep3D limits the concurrent threads on the GPU. In this paper, we present multi-dimensional optimization methods for Sweep3D, which can be efficiently implemented on the finegrained parallel architecture of the GPU. Our results show that the overall performance of Sweep3D on the CPU-GPU hybrid platform can be improved up to 4.38 times as compared to the CPU-based implementation.
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