GPU acceleration of LCAO basis set first-principle calculations

Haochong Zhang, Shi Yin, Lixin He
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Abstract

First-principles calculation software is of significant importance to material research and development, serving as a fundamental resource for analyzing the microscopic structure and properties of materials. Nevertheless, limitations on the scale of computations and the associated cost restrict the applicability of first-principles calculation within the materials field. The rapid development of heterogeneous computing, particularly General-Purpose Graphics Processing Units (GPGPUs), have heralded new prospects for the enhancement and cost-effectiveness of scientific computing. Utilizing GPGPUs, this paper boost the existing algorithms in Atomic-orbital Based Ab-initio Computation at UStc (ABACUS), a first-principles calculation software grounded on the linear combination of atomic orbitals (LCAO) basis set, with an overarching objective of increasing computation speed. The effectiveness of the computational acceleration has been clearly demonstrated through calculations on twisted bilayer graphene systems, spanning a wide range of scales, with systems as large as 10,444 carbon atoms.
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GPU 加速 LCAO 基集第一原理计算
第一性原理计算软件作为分析材料微观结构和性能的基础资源,对材料研究与开发具有重要意义。然而,由于计算规模和相关成本的限制,第一性原理计算在材料领域的应用受到了制约。异构计算,特别是通用图形处理器(GPGPU)的快速发展为科学计算的提升和成本效益带来了新的前景。基于原子轨道线性组合(LCAO)基集的第一性原理计算软件--UStc 基于原子轨道的非线性计算(ABACUS),以提高计算速度为总体目标。通过对扭曲双层石墨烯系统的计算,我们清楚地证明了计算加速的有效性,该系统跨越了广泛的尺度范围,最大可达 10,444 个碳原子。
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