有效的数值方法,加快图形处理单元 (GPU) 计算Poisson问题和Cahn-Hilliard方程
Saulo Orizaga1, Maurice Fabien2, Michael Millard1
1Department of Mathematics, New Mexico Tech, 801 Leroy Place, Socorro, NM 87801, USA.
概括
本研究为材料科学模型提供了高效的半隐式数值方法,特别是卡恩-希利亚德方程. 开发的技术显著加速使用GPU实现的3D计算.
科学领域:
- 计算材料科学科学 计算材料科学
- 数字分析 数字分析
- 部分微分方程 部分微分方程
背景情况:
- 材料科学模拟通常涉及复杂的非线性高阶抛物线部分微分方程.
- 有效的数值方法对于准确和及时模拟材料行为至关重要.
研究的目的:
- 为材料科学模型开发和评估高效的半隐性数值方法.
- 通过对Cahn-Hilliard方程的现有方法进行比较,对拟议的方法进行比较.
- 探索更高阶的时间步进技术,以提高准确性和趋同性.
主要方法:
- 实现非线性高阶抛物线部分微分方程的半隐式方法.
- 凸度分裂 (CS) 方法与倒向欧勒近似.
- 与双改性 (BHM) 方法进行比较.
- 引入更高层次的时间渐进技术.
- 使用MATLAB进行计算加速的GPU实现.
主要成果:
- 拟议的半隐式方案显示了2D计算的高效率.
- 证明了2D和3D扩展模拟的能量降低特性和整体性能.
- 通过GPU实现实现3D Cahn-Hilliard方程模拟实现了显著的计算加速 (高达80x).
结论:
- 开发的半隐式数值方法对于模拟材料科学模型,如卡恩-希利亚德方程,是高效和准确的.
- GPU 加速为复杂的 3D 模拟提供了相当大的加速度.
- 这些方法为各种初始条件的长期模拟提供了强大的框架.
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