The novel implicit LU-SGS parallel iterative method based on the diffusion equation of a nuclear reactor on a GPU cluster

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• 作者：Jilin Zhang^a ; ^b ; ^c ; ^d ; ^f ; Chaoqun Sha^e ; Yusen Wu^a ; ^b ; ^{wuyusen8988@126.com} ; Jian Wan^a ; ^b ; ^d ; ^f ; Li Zhou^a ; ^b ; Yongjian Ren^a ; ^b ; Huayou Si^a ; ^b ; Yuyu Yin^a ; ^b ; ^c ; ^d ; ^f ; Ya Jing^g
• 关键词：Reactor ; GPU parallel ; CUDA ; LU-SGS
• 刊名：Computer Physics Communications
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：211
• 期：Complete
• 页码：16-22
• 全文大小：947 K
• 卷排序：211

文摘

GPU not only is used in the field of graphic technology but also has been widely used in areas needing a large number of numerical calculations. In the energy industry, because of low carbon, high energy density, high duration and other characteristics, the development of nuclear energy cannot easily be replaced by other energy sources. Management of core fuel is one of the major areas of concern in a nuclear power plant, and it is directly related to the economic benefits and cost of nuclear power. The large-scale reactor core expansion equation is large and complicated, so the calculation of the diffusion equation is crucial in the core fuel management process. In this paper, we use CUDA programming technology on a GPU cluster to run the LU-SGS parallel iterative calculation against the background of the diffusion equation of the reactor. We divide one-dimensional and two-dimensional mesh into a plurality of domains, with each domain evenly distributed on the GPU blocks. A parallel collision scheme is put forward that defines the virtual boundary of the grid exchange information and data transmission by non-stop collision. Compared with the serial program, the experiment shows that GPU greatly improves the efficiency of program execution and verifies that GPU is playing a much more important role in the field of numerical calculations.