{"title":"GPU acceleration of LCAO basis set first-principle calculations","authors":"Haochong Zhang, Shi Yin, Lixin He","doi":"arxiv-2409.09399","DOIUrl":null,"url":null,"abstract":"First-principles calculation software is of significant importance to\nmaterial research and development, serving as a fundamental resource for\nanalyzing the microscopic structure and properties of materials. Nevertheless,\nlimitations on the scale of computations and the associated cost restrict the\napplicability of first-principles calculation within the materials field. The\nrapid development of heterogeneous computing, particularly General-Purpose\nGraphics Processing Units (GPGPUs), have heralded new prospects for the\nenhancement and cost-effectiveness of scientific computing. Utilizing GPGPUs,\nthis paper boost the existing algorithms in Atomic-orbital Based Ab-initio\nComputation at UStc (ABACUS), a first-principles calculation software grounded\non the linear combination of atomic orbitals (LCAO) basis set, with an\noverarching objective of increasing computation speed. The effectiveness of the\ncomputational acceleration has been clearly demonstrated through calculations\non twisted bilayer graphene systems, spanning a wide range of scales, with\nsystems as large as 10,444 carbon atoms.","PeriodicalId":501369,"journal":{"name":"arXiv - PHYS - Computational Physics","volume":"48 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Computational Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.09399","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.