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

被引:1
|
作者
Wang, Yuanheng [1 ,2 ,3 ]
Hait, Diptarka [1 ,2 ,3 ]
Johnson, K. Grace [1 ,2 ,3 ]
Fajen, O. Jonathan [1 ,2 ,3 ]
Zhang, Juncheng Harry [1 ,2 ,3 ]
Guerrero, Ruben D. [1 ,2 ,3 ]
Martinez, Todd J. [1 ,2 ,3 ]
机构
[1] Stanford Univ, Dept Chem, Stanford, CA 94305 USA
[2] Stanford Univ, PULSE Inst, Stanford, CA 94305 USA
[3] SLAC Natl Accelerator Lab, Menlo Pk, CA 94024 USA
来源
JOURNAL OF CHEMICAL PHYSICS | 2024年 / 161卷 / 17期
关键词
GRAPHICAL PROCESSING UNITS; AB-INITIO CALCULATION; SPACE SCF METHOD; J MATRIX ENGINE; QUANTUM-CHEMISTRY; 2-ELECTRON INTEGRALS; BASIS-SETS; HARTREE-FOCK; CONFIGURATION-INTERACTION; EFFICIENT CALCULATION;
D O I
10.1063/5.0233523
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
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.
引用
收藏
页数:21
相关论文
共 8 条
  • [1] A GPU-Accelerated Implementation of the MOLAR PET Reconstruction Package
    Barker, W. Craig
    Thada, Shanthalaxmi
    Dieckmann, William
    2009 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD, VOLS 1-5, 2009, : 4114 - 4119
  • [2] GPU-Accelerated Progressive Gaussian Filtering with Applications to Extended Object Tracking
    Steinbring, Jannik
    Hanebeck, Uwe D.
    2015 18TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), 2015, : 1038 - 1045
  • [3] Internal boundary conditions for a GPU-accelerated 2D shallow water model: Implementation and applications
    Dazzi, Susanna
    Vacondio, Renato
    Mignosa, Paolo
    ADVANCES IN WATER RESOURCES, 2020, 137
  • [4] AnACor2.0: a GPU-accelerated open-source software package for analytical absorption corrections in X-ray crystallography
    Lu, Yishun
    Adamek, Karel
    Stefanic, Tihana
    Duman, Ramona
    Wagner, Armin
    Armour, Wesley
    JOURNAL OF APPLIED CRYSTALLOGRAPHY, 2024, 57 : 1984 - 1995
  • [5] An efficient implementation of an improved HLLC-type scheme to GPU-accelerated simulation of hypersonic thermochemical nonequilibrium flows
    Yu, Hang
    Li, Hua
    Lai, Jianqi
    2019 4TH INTERNATIONAL CONFERENCE ON MECHANICAL, CONTROL AND COMPUTER ENGINEERING (ICMCCE 2019), 2019, : 320 - 323
  • [6] Celeris: A GPU-accelerated open source software with a Boussinesq-type wave solver for real-time interactive simulation and visualization
    Tavakkol, Sasan
    Lynett, Patrick
    COMPUTER PHYSICS COMMUNICATIONS, 2017, 217 : 117 - 127
  • [7] Development of a chest digital tomosynthesis R/F system and implementation of low-dose GPU-accelerated compressed sensing (CS) image reconstruction
    Choi, Sunghoon
    Lee, Haenghwa
    Lee, Donghoon
    Choi, Seungyeon
    Lee, Chang-Lae
    Kwon, Woocheol
    Shin, Jungwook
    Seo, Chang-Woo
    Kim, Hee-Joung
    MEDICAL PHYSICS, 2018, 45 (05) : 1871 - 1888
  • [8] Sparse tensor based nuclear gradients for periodic Hartree-Fock and low-scaling correlated wave function methods in the CP2K software package: A massively parallel and GPU accelerated implementation
    Bussy, Augustin
    Schutt, Ole
    Hutter, Jurg
    JOURNAL OF CHEMICAL PHYSICS, 2023, 158 (16):