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Affordable and accurate large-scale hybrid-functional calculations on GPU-accelerated supercomputers

机译:GPU加速超级计算机的实惠和准确的大型混合功能计算

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Performing high accuracy hybrid functional calculations for condensed matter systems containing a large number of atoms is at present computationally very demanding or even out of reach if high quality basis sets are used. We present a highly optimized multiple graphics processing unit implementation of the exact exchange operator which allows one to perform fast hybrid functional density-functional theory (DFT) calculations with systematic basis sets without additional approximations for up to a thousand atoms. With this method hybrid DFT calculations of high quality become accessible on state-of-the-art supercomputers within a time-to-solution that is of the same order of magnitude as traditional semilocal-GGA functionals. The method is implemented in a portable open-source library.
机译:对于含有大量原子的冷凝物系统执行高精度混合功能计算,如果使用高质量的基集,则在计算非常苛刻或甚至无法达到。 我们介绍了精确的交换机操作员的高度优化的多图形处理单元实现,其允许人们使用系统基集执行快速的混合功能密度 - 功能理论(DFT)计算,而无需额外的近似千次原子。 通过这种方法,高质量的混合DFT计算可以在最先进的超级计算机上可访问与传统的半会议功能相同的数量级的解决方案。 该方法是在便携式开源库中实现的。

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