用图形处理单元加速相对论精确两组分密度函数理论计算
Mikael Kovtun1, Eleftherios Lambros1, Aodong Liu1
1Department of Chemistry, University of Washington Seattle, Washington 98115, United States.
Journal of chemical theory and computation
|September 3, 2024
概括
本研究介绍了密度函数理论中交换相关性潜能计算的GPU加速. 这显著加快了相对论电子结构模拟的速度,提供了相当大的计算能力.
科学领域:
- 计算化学是一种计算化学.
- 材料科学是一种材料科学.
- 量子力学就是量子力学.
背景情况:
- 交换相关性潜力的数值集成是计算密集的.
- 图形处理单元 (GPU) 提供了巨大的并行处理能力.
- 相对论,二元密度函数理论 (DFT) 需要大量的计算资源.
研究的目的:
- 在GauXC库中实现和评估GPU加速用于交换相关性潜力计算.
- 评估相对论 DFT 计算的绩效效益.
- 为了能够更有效地模拟重元素系统.
主要方法:
- 在GauXC库中实现GPU加速交换关联潜能集成.
- 对铜,银和金币金属集群的基准计算.
- 基于GPU的性能与传统的基于CPU的计算进行比较.
主要成果:
- 与CPU计算相比,通过GPU加速实现了显著的加速度.
- 一个GPU卡显示了相当于大约400个CPU核心的计算能力.
- 加速随着系统大小的增加,表明可扩展性更大的模拟.
- 支持任意角动量基础函数可提高重元素的适用性.
结论:
- 该GPU加速实现为相对论电子结构计算提供了相当大的加速.
- 这一进步使得DFT中的更高效和更广泛的计算研究成为可能.
- 这种方法对未来具有显著的潜力,在计算化学和材料科学中要求更高的模拟.
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