GPU加速的中子输运稳态格子Boltzmann方法

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基金项目:

国家自然科学基金资助项目(11875330)

Steady-State Lattice Boltzmann Method for Neutron Transport with GPU Acceleration

1. Sino-French Institute of Nuclear Engineering and Technology, Sun Yat-sen University, Zhuhai, Guangdong, 519082, China;
2. School of Energy Science and Engineering, Harbin Institute of Technology, Harbin, 150001, China;
3. Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chengdu, 610213, China

摘要: 采用具有强局部特性的格子Boltzmann方法(LBM)对多维介质中的中子输运过程进行模拟。同时,为了提高LBM计算的速度,应用了图形处理器(GPU)加速技术对LBM计算过程进行了并行加速。典型中子输运问题的数值模拟结果表明,LBM能准确的模拟中子输运问题,同时GPU加速技术能有效的提高LBM的计算效率。二者的结合能够实现中子输运问题的高效准确计算。
- 中子输运 /
- 格子Boltzmann方法 /
- GPU并行计算 /
- 加速比
Abstract: The multi-dimensional neutron transport process is simulated by using the lattice Boltzmann method（LBM） with strong localization. Meanwhile, to improve the computational speed of LBM, the Graphics Processing Unit（GPU） acceleration is applied to speed up the LBM calculation in parallel. The numerical solutions for typical neutron transport cases show that the LBM can simulate the neutron transport problem accurately and the GPU acceleration can efficiently improve the computational speed of the LBM. The combination of these two techniques can realize the efficient and accurate neutron transport calculation.
- Neutron transport /
- Lattice Boltzmann method /
- GPU acceleration /
- Speedup ratio