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The numerical evaluation of Slater integrals on graphics processing units

Duy‐Khoi Dang, Leighton Wilson, Paul M. Zimmerman

2022Journal of Computational Chemistry12 citationsDOIOpen Access PDF

Abstract

Abstract This article presents SlaterGPU, a graphics processing unit (GPU) accelerated library that uses OpenACC to numerically compute Slater‐type orbital (STO) integrals. The electron repulsion integrals (ERI) are computed under the RI approximation using the Coulomb potential of the Slater basis function. To fully realize the performance capabilities of modern GPUs, the Slater integrals are evaluated in mixed‐precision, resulting in speedups for the ERIs of over 80×. Parallelization on multiple GPUs allows for integral throughput of over 3 million integrals per second. This places STO integral throughput within reach of single‐threaded, conventional Gaussian integration schemes. To test the quality of the integrals, the fluorine exchange reaction barrier in fluoromethane was computed using heat‐bath configuration interaction (HBCI). In addition, the singlet‐triplet gap of cyclobutadiene was examined using HBCI in a triple‐, polarized basis set. These benchmarks demonstrate the library's ability to generate the full set of integrals necessary for configuration interaction with up to functions in the auxiliary basis.

Topics & Concepts

Slater integralsGraphicsBasis (linear algebra)Basis functionBasis setSet (abstract data type)Order of integration (calculus)Gaussian integralComputer scienceCyclobutadieneNumerical integrationGraphics processing unitComputational scienceCoulombGaussianConfiguration interactionApplied mathematicsMathematicsPhysicsParallel computingMathematical analysisQuantum mechanicsElectronGeometryComputer graphics (images)MoleculeProgramming languageExcited stateSpacecraft and Cryogenic TechnologiesAdvanced Chemical Physics StudiesQuantum, superfluid, helium dynamics