改进模块化和ipie的新功能:在零和有限温度下,在CPU和GPU上实现更大的AFQMC计算
Tong Jiang1, Moritz K A Baumgarten1, Pierre-François Loos2
1Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts 02138, USA.
The Journal of chemical physics
|October 25, 2024
概括
ipie包现在为辅助场量子蒙特卡罗 (AFQMC) 模拟提供了增强的模块化和GPU加速. 这使得大型量子系统的高精度计算成为可能,进步了计算化学研究.
科学领域:
- 计算量子化学 计算量子化学
- 材料科学 材料科学 材料科学
- 凝聚物质物理学 凝聚物质物理学
背景情况:
- 最初发布的ipie为辅助场量子蒙特卡罗 (AFQMC) 计算提供了基础.
- 进一步开发对于处理更大,更复杂的量子系统和提高计算效率至关重要.
研究的目的:
- 详细介绍ipie的模块化和功能上的重大升级.
- 展示该软件包对大规模分布式和GPU加速模拟的增强功能.
- 引入新的AFQMC实现,以便在量子化学中更广泛地适用.
主要方法:
- 增强的模块化,允许试验和步行者类型的灵活整合.
- 在多个CPU和GPU中实现分布式哈密尔顿模拟.
- 支持使用CUDA和cupy进行NVIDIA GPU加速,用于多Slater决定性试验波函数.
- 开发自由投射,有限温度和电子-声波AFQMC方法.
- 集成用于财产计算的自动区分.
主要成果:
- 成功地对大型系统进行分布式哈密尔顿模拟,包括一个具有84个电子的二元体.
- 使用GPU加速,对多参考星团如[Cu2O2]2+和[Fe2S2(SCH3)4]2的近乎精确的基态能量进行高效和准确的计算.
- 已证明能够处理超过单个CPU/GPU内存限制的系统.
结论:
- ipie已经发展成为AFQMC研究的领先平台,为复杂的模拟提供先进的功能.
- 这些新能力有助于更雄心勃勃的计算方法开发和量子化学中的应用.
- 该软件包能够很好地应对高精度模拟大规模量子系统的挑战.
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