FFTX for Micromechanical Stress-Strain Analysis

Anuva Kulkarni, Daniele G. Spampinato, F. Franchetti
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Abstract

Porting scientific simulations to heterogeneous platforms requires complex algorithmic and optimization strategies to overcome memory and communication bottlenecks. Such operations are inexpressible using traditional libraries (e.g., FFTW for spectral methods) and difficult to optimize by hand for various hardware platforms. In this work, we use our GPU-adapted stress-strain analysis method to show how FFTX, a new API that extends FFTW, can be used to express our algorithm without worrying about code optimization, which is handled by a backend code generator.
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微机械应力-应变分析FFTX
将科学模拟移植到异构平台需要复杂的算法和优化策略来克服内存和通信瓶颈。这些操作使用传统库(例如,光谱方法的FFTW)是无法表达的,并且难以针对各种硬件平台手动优化。在这项工作中,我们使用我们的gpu适应应力应变分析方法来展示如何使用FFTX(扩展FFTW的新API)来表达我们的算法,而无需担心代码优化,这是由后端代码生成器处理的。
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