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Employing OpenCL to Accelerate Ab Initio Calculations on Graphics Processing Units.
Kussmann, Jörg; Ochsenfeld, Christian.
Afiliação
  • Kussmann J; Chair of Theoretical Chemistry, Department of Chemistry, University of Munich (LMU) , Butenandtstraße 7, D-81377 München, Germany.
  • Ochsenfeld C; Center for Integrated Protein Science (CIPSM) at the Department of Chemistry, University of Munich (LMU) , Butenandtstraße 5-13, D-81377 München, Germany.
J Chem Theory Comput ; 13(6): 2712-2716, 2017 Jun 13.
Article em En | MEDLINE | ID: mdl-28561575
We present an extension of our graphics processing units (GPU)-accelerated quantum chemistry package to employ OpenCL compute kernels, which can be executed on a wide range of computing devices like CPUs, Intel Xeon Phi, and AMD GPUs. Here, we focus on the use of AMD GPUs and discuss differences as compared to CUDA-based calculations on NVIDIA GPUs. First illustrative timings are presented for hybrid density functional theory calculations using serial as well as parallel compute environments. The results show that AMD GPUs are as fast or faster than comparable NVIDIA GPUs and provide a viable alternative for quantum chemical applications.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article