Affordable and accurate large-scale hybrid-functional calculations on GPU-accelerated supercomputers
ORAL
Abstract
Since 2008, the BigDFT project consortium has developed an ab initio DFT code based on Daubechies wavelets.
Performing high accuracy hybrid functional calculations for condensed matter systems
containing a large number of atoms is at present computationally very demanding or even out
of reach if high quality basis sets are used. We present a highly optimized multiple graphics
processing unit implementation of the exact exchange operator which allows one to perform
fast hybrid functional density-functional theory (DFT) calculations with systematic basis
sets without additional approximations for up to a thousand atoms. With this method hybrid
DFT calculations of high quality become accessible on state-of-the-art supercomputers
within a time-to-solution that is of the same order of magnitude as traditional semilocal-GGA
functionals. The method is implemented in a portable open-source library.
Laura E Ratcliff et al 2018 J. Phys.: Condens. Matter 30 095901
Performing high accuracy hybrid functional calculations for condensed matter systems
containing a large number of atoms is at present computationally very demanding or even out
of reach if high quality basis sets are used. We present a highly optimized multiple graphics
processing unit implementation of the exact exchange operator which allows one to perform
fast hybrid functional density-functional theory (DFT) calculations with systematic basis
sets without additional approximations for up to a thousand atoms. With this method hybrid
DFT calculations of high quality become accessible on state-of-the-art supercomputers
within a time-to-solution that is of the same order of magnitude as traditional semilocal-GGA
functionals. The method is implemented in a portable open-source library.
Laura E Ratcliff et al 2018 J. Phys.: Condens. Matter 30 095901
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Presenters
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Thierry DEUTSCH
CEA Grenoble
Authors
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Thierry DEUTSCH
CEA Grenoble
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Luigi Genovese
CEA Grenoble, INAC, CEA Grenoble
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Laura Ratcliff
Imperial College London, Department of Materials, Imperial College London