一种混合CPU/GPU方法用于Hartree-Fock自一致场计算
Ji Qi1, Yingfeng Zhang1, Minghui Yang1,2
1Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy of Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China.
一种新的混合CPU/GPU方法加速了Hartree-Fock方法的两电子排斥积分 (ERI) 计算. 这种方法通过根据角动量分配任务来优化计算能力,优于单个GPU使用的GPU-only方法.
科学领域:
- 计算化学是一种计算化学.
- 量子化学是一种量子化学.
- 高性能计算的高性能计算.
背景情况:
- 两个电子排斥积分 (ERI) 是哈特里-福克计算的基础.
- 无论是CPU还是GPU,对于基于角度动量的ERI计算都有明显的优势.
研究的目的:
- 开发和评估一种混合CPU/GPU方法,以加速ERI计算和Fock矩阵生成.
- 为了利用CPU和GPU的优势,提高计算效率.
主要方法:
- 一种混合CPU/GPU方法,使用具有OpenMP动态调度的任务队列.
- 任务的优先级是基于角度动量:GPU的低,CPU的高.
- 叠加CPU和GPU计算以最大限度地利用资源.
主要成果:
- 混合方法的效率高于使用单个GPU的GPU-only方法.
- 混合方法的优势随着GPU数量的增加而下降.
- 虽然缩放指数略高,但混合方法显示出明显较低的前指数因子,表明整体有效性.
结论:
- 混合CPU/GPU方法为加速ERI计算提供了有效的策略,特别是在单个GPU环境中.
- 这种方法使得任意角动量计算成为可能,提高了灵活性.
- 可能需要进一步的研究来优化多GPU系统的性能.
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