Employing OpenCL to Accelerate Ab Initio Calculations on Graphics Processing Units

J. Chem. Theory Comput., 2017, 13 (6), pp 2712–2716, DOI: 10.1021/acs.jctc.7b00515
J. Chem. Theory Comput., online online

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.

Campus Movie 2020

CIPSM Movie

Campus Movie 2012

CIPSM Movie
LMUexcellent
TU München
MPG
Helmholtz München
MPI of Neurobiology
MPI of Biochemistry