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VASP on a GPU: Application to exact-exchange calculations of the stability of elemental boron

机译:GPU上的VASP:应用于元素硼稳定性的精确交换计算

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摘要

General purpose graphical processing units (GPUs) offer high processing speeds for certain classes of highly parallelizable computations, such as matrix operations and Fourier transforms, that lie at the heart of first-principles electronic structure calculations. Inclusion of exact-exchange increases the cost of density functional theory by orders of magnitude, motivating the use of GPUs. Porting the widely used electronic density functional code VASP to run on a GPU results in a 5-20 fold performance boost of exact-exchange compared with a traditional CPU. We analyze performance bottlenecks and discuss classes of problems that will benefit from the GPU. As an illustration of the capabilities of this implementation, we calculate the lattice stability α- and β-rhombohedral boron structures utilizing exact-exchange. Our results confirm the energetic preference for symmetry-breaking partial occupation of the β-rhombohedral structure at low temperatures, but does not resolve the stability of α relative to β.
机译:通用图形处理单元(GPU)为某些类别的高度可并行计算(例如矩阵运算和傅里叶变换)提供了高处理速度,这些运算是第一性原理电子结构计算的核心。包含精确交换将密度泛函理论的成本增加了几个数量级,从而刺激了GPU的使用。将广泛使用的电子密度功能代码VASP移植到GPU上运行,与传统CPU相比,精确交换的性能提高了5到20倍。我们分析性能瓶颈并讨论可从GPU中受益的问题类别。为了说明此实现的功能,我们利用精确交换计算了晶格稳定性α-和β-菱形六面体硼结构。我们的结果证实了低温下β-菱形结构的对称破坏部分占据的能量偏好,但并未解决α相对于β的稳定性。

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