基于不连续伽辽金方法的统一GPU并行框架

Shucheng Huang, Li Xu, Bingqi Liu, Zhonghai Yang, Bin Li
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引用次数: 0

摘要

在本文中,我们设计了一个统一的并行DG框架。根据离散化的特点,在该框架中建立了预处理部分。然后设计不同的核函数来匹配不同的数值问题,如麦克斯韦方程和欧拉方程。在相同的CPU代码上实现了160的加速。与CPU代码相比,计算效率大大提高。
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Unified GPU Parallel Framework Based on Discontinuous Galerkin Method
In this paper, we designed a unified parallel DG framework. Based on the characteristics of DG discretization, we built a preprocessing part in the framework. Then designed different kernel functions to match different numerical problems, such as Maxwell's equation and Euler's equation. A speed-up of 160 has been achieved over an equivalent CPU code. Compared with CPU code, the computing efficiency has been greatly improved.
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