一个基于MPI的多GPU和CUDA意识的光谱元素配方,用于在固体介质中的超声波传播
Feilong Li1, Fangxin Zou1, Jing Rao2
1Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Special Administrative Region, China.
Ultrasonics
|June 8, 2023
概括
这项研究提出了一种新的多GPU光谱元素配方,用于模拟超声波传播. 这种方法显著加快了GPU计数的计算和规模,使复杂结构的有效分析成为可能.
科学领域:
- 计算力学 计算力学 计算力学
- 固体力学 固体力学是什么
- 波浪传播 波浪传播
背景情况:
- 精确模拟固体中的超声波传播对于非破坏性测试和材料表征至关重要.
- 现有的方法在复杂几何形状的速度和可扩展性方面经常面临计算限制.
研究的目的:
- 引入一种新的多GPU光谱元件 (SE) 配方,用于增强超声波传播的模拟.
- 提高GPU之间的通信效率,以实现更快,更可扩展的计算.
- 为了证明配方在模拟波相互作用与现实的结构缺陷方面的有效性.
主要方法:
- 开发了一种新的多GPU光谱元素配方,使用CUDA意识的消息传递接口 (MPI).
- 实施了两个新的消息交换策略,用于直接GPU到GPU的节点力量通信.
- 与多个CPU,基于MPI的传统方法对比新的配方.
主要成果:
- 在所有计算阶段实现了显著的加速:矩阵组装,时间集成和消息交换.
- 证明了计算效率和自由度限制的可扩展性,随着越来越多的GPU.
- 成功模拟了Lamb波与板块厚度损失缺陷的相互作用.
结论:
- 新的多GPU配方为超声波传播模拟提供了显著的加速度和可扩展性.
- 这种技术显示出在复杂的工程结构中有效,准确和稳健地分析波传播的潜力.
- 与CPU介导的方法相比,直接的GPU到GPU通信策略提高了计算性能.
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