Highly Efficient Resolution-of-Identity Density Functional Theory Calculations on Central and Graphics Processing Units.


Journal

Journal of chemical theory and computation
ISSN: 1549-9626
Titre abrégé: J Chem Theory Comput
Pays: United States
ID NLM: 101232704

Informations de publication

Date de publication:
09 Mar 2021
Historique:
pubmed: 23 2 2021
medline: 23 2 2021
entrez: 22 2 2021
Statut: ppublish

Résumé

We present an efficient method to evaluate Coulomb potential matrices using the resolution of identity approximation and semilocal exchange-correlation potentials on central (CPU) and graphics processing units (GPU). The new GPU-based RI-algorithm shows a high performance and ensures the favorable scaling with increasing basis set size as the conventional CPU-based method. Furthermore, our method is based on the J-engine algorithm [White; , Head-Gordon,

Identifiants

pubmed: 33615784
doi: 10.1021/acs.jctc.0c01252
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1512-1521

Auteurs

Jörg Kussmann (J)

Chair of Theoretical Chemistry, Department of Chemistry, University of Munich (LMU), Butenandtstr. 7, D-81377 München, Germany.

Henryk Laqua (H)

Chair of Theoretical Chemistry, Department of Chemistry, University of Munich (LMU), Butenandtstr. 7, D-81377 München, Germany.

Christian Ochsenfeld (C)

Chair of Theoretical Chemistry, Department of Chemistry, University of Munich (LMU), Butenandtstr. 7, D-81377 München, Germany.

Classifications MeSH