Implementing and optimizing a data-intensive hydrodynamics application on the stream processor

Authors:
Ying Zhang;Gen Li;Xuejun Yang
Affiliations:
National Laboratory for Paralleling and Distributed Processing, School of Computer, National University of Defense Technology, Changsha, Hunan, P.R. of China;National Laboratory for Paralleling and Distributed Processing, School of Computer, National University of Defense Technology, Changsha, Hunan, P.R. of China;National Laboratory for Paralleling and Distributed Processing, School of Computer, National University of Defense Technology, Changsha, Hunan, P.R. of China
Venue:
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part III
Year:
2007

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Abstract

Several representative scientific computing applications have been mapped on the stream processor. But most of them are computation-intensive kernels or synthetic benchmarks. In this paper, we implement and optimize a complete data-intensive hydrodynamics application, QNJ-5, on the stream processor which is designed for computation-intensive applications. Different from other stream programs, how to relieve memory access pressure is especially important to this stream program. Simulation results show that StreamQNJ-5 gets an ultimate speedup of 2.97 and 1.11 over original FORTRAN QNJ-5 on a Xeon and Iantium processor, respectively.