Extending GPU-accelerated Gaussian integrals in the TeraChem software package to f type orbitals: Implementation and applications

The increasing availability of graphics processing units (GPUs) for scientific computing has prompted interest in accelerating quantum chemical calculations through their use. However, the complexity of integral kernels for high angular momentum basis functions often limits the utility of GPU implementations with large basis sets or for metal containing systems. In this work, we report the implementation of f function support in the GPU-accelerated TeraChem software package through the development of efficient kernels for the evaluation of Hamiltonian integrals. The high efficiency of the resulting code is demonstrated through density functional theory (DFT) calculations on increasingly large organic molecules and transition metal complexes, as well as coupled cluster singles and doubles calculations on water clusters. Preliminary investigations into Ni(I) catalysis with DFT and the photochemistry of MnH(CH3) with complete active space self-consistent field are also carried out. Overall, our GPU-accelerated software appears to be well-suited for fast simulation of large transition metal containing systems, as well as organic molecules.

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Publication Details

Journal
The Journal of Chemical Physics
Published
2024-11-06
DOI
https://doi.org/10.1063/5.0233523
Citations
14
Primary Topic
Advanced Chemical Physics Studies
Type
article
Field-Weighted Citation Impact
4.73

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article

Extending GPU-accelerated Gaussian integrals in the TeraChem software package to f type orbitals: Implementation and applications

Rubén Darío Guerrero, O. Jonathan Fajen, Diptarka Hait, Todd J. Martı́nez et al.
14 citations
The Journal of Chemical Physics
Advanced Chemical Physics Studies
4.73
article

Extending GPU-accelerated Gaussian integrals in the TeraChem software package to f type orbitals: Implementation and applications

Rubén Darío Guerrero, O. Jonathan Fajen, Diptarka Hait, Todd J. Martı́nez, J. H. Zhang, K. Grace Johnson, Yuanheng Wang
article en
14 citations

Abstract

The increasing availability of graphics processing units (GPUs) for scientific computing has prompted interest in accelerating quantum chemical calculations through their use. However, the complexity of integral kernels for high angular momentum basis functions often limits the utility of GPU implementations with large basis sets or for metal containing systems. In this work, we report the implementation of f function support in the GPU-accelerated TeraChem software package through the development of efficient kernels for the evaluation of Hamiltonian integrals. The high efficiency of the resulting code is demonstrated through density functional theory (DFT) calculations on increasingly large organic molecules and transition metal complexes, as well as coupled cluster singles and doubles calculations on water clusters. Preliminary investigations into Ni(I) catalysis with DFT and the photochemistry of MnH(CH3) with complete active space self-consistent field are also carried out. Overall, our GPU-accelerated software appears to be well-suited for fast simulation of large transition metal containing systems, as well as organic molecules.

The Journal of Chemical PhysicsVol. 161(17)
SLAC National Accelerator Laboratory (US), Pulse Biosciences (United States) (US), Stanford University (US)
U.S. Department of Energy, School of Humanities and Sciences, Stanford University, Office of Naval Research
Openalex Percentile: Top 4%
Advanced Chemical Physics Studies
4.73
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