A high-performance computational framework for fast crystal plasticity simulations

作者：Knezevic Marko^*; Savage Daniel J

来源：Computational Materials Science, 2014, 83: 101-106.

DOI：10.1016/j.commatsci.2013.11.012

• Crystal plasticity
• Texture
• Spectral methods
• GPU
• CUDA

We present a new computational framework aimed at dramatically reducing time needed for crystal plasticity simulations. The framework is based on a combination of the recently developed numerical implementations of crystal plasticity in the spectral representation for obtaining the response of single crystals and specialized computer hardware that integrates a graphics-processing unit (GPU). Following a divide and conquer approach adapted here from a fast GPU8 method for matrix operations, we describe a new GPU based implementation of the spectral crystal plasticity and demonstrate its performances through a few example case studies involving a Taylor-type polycrystalline model. Using a single GPU card, the novel framework described herein provides speedup factors exceeding three orders of magnitude over the conventional crystal plasticity numerical schemes.

• 出版日期2014-2