期刊
JOURNAL OF COMPUTATIONAL PHYSICS
卷 230, 期 15, 页码 6010-6022出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcp.2011.04.010
关键词
Particle transport; Discrete ordinates (S-n) method; Sweep3D; GPU; CUDA
资金
- National Natural Science Foundation of China [60970033]
- National Key Basic research development Program of China [61312701001]
Graphics Processing Unit (CPU), originally developed for real-time, high-definition 3D graphics in computer games, now provides great faculty in solving scientific applications. The basis of particle transport simulation is the time-dependent, multi-group, inhomogeneous Boltzmann transport equation. The numerical solution to the Boltzmann equation involves the discrete ordinates (S-n) method and the procedure of source iteration. In this paper, we present a CPU accelerated simulation of one energy group time-independent deterministic discrete ordinates particle transport in 3D Cartesian geometry (Sweep3D). The performance of the CPU simulations are reported with the simulations of vacuum boundary condition. The discussion of the relative advantages and disadvantages of the GPU implementation, the simulation on multi CPUs, the programming effort and code portability are also reported. The results show that the overall performance speedup of one NVIDIA Tesla M2050 CPU ranges from 2.56 compared with one Intel Xeon X5670 chip to 8.14 compared with one Intel Core Q6600 chip for no flux fixup. The simulation with flux fixup on one M2050 is 1.23 times faster than on one X5670. (C) 2011 Elsevier Inc. All rights reserved.
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