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Many-Body Quantum Chemistry on Massively Parallel Computers

Calvin, Justus A. and Peng, Chong and Rishi, Varun and Kumar, Ashutosh and Valeev, Edward F. (2021) Many-Body Quantum Chemistry on Massively Parallel Computers. Chemical Reviews, 121 (3). pp. 1203-1231. ISSN 0009-2665. https://resolver.caltech.edu/CaltechAUTHORS:20201215-141037525

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Abstract

The deployment of many-body quantum chemistry methods onto massively parallel high-performance computing (HPC) platforms is reviewed. The particular focus is on highly accurate methods that have become popular in predictive description of chemical phenomena, such as the coupled-cluster method. The account of relevant literature is preceded by a discussion of the modern and near-future HPC landscape and the relevant computational traits of the many-body methods, in their canonical and reduced-scaling formulations, that underlie the challenges in their HPC realization.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1021/acs.chemrev.0c00006DOIArticle
ORCID:
AuthorORCID
Rishi, Varun0000-0003-0317-3815
Valeev, Edward F.0000-0001-9923-6256
Additional Information:© 2020 American Chemical Society. Received: January 3, 2020; Published: December 11, 2020. This work was supported by the U.S. National Science Foundation (awards 1550456, 1800348, and 1931347) and by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of the U.S. Department of Energy Office of Science and the National Nuclear Security Administration. This work used resources of the OLCF at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract DE-AC05-00OR22725. This research used resources of the ALCF, which is a DOE Office of Science User Facility supported under Contract DE-AC02-06CH11357. We also acknowledge Advanced Research Computing at Virginia Tech (www.arc.vt.edu) for providing computational resources and technical support that have contributed to the results reported within this paper. The authors declare no competing financial interest.
Funders:
Funding AgencyGrant Number
NSFOAC-1550456
NSFCHE-1800348
NSFOAC-1931347
Department of Energy (DOE)17-SC-20-SC
Department of Energy (DOE)DE-AC05-00OR22725
Department of Energy (DOE)DE-AC02-06CH11357
Subject Keywords:Basis sets, Quantum mechanics, Approximation, Mathematical methods, Cluster chemistry
Issue or Number:3
Record Number:CaltechAUTHORS:20201215-141037525
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20201215-141037525
Official Citation:Many-Body Quantum Chemistry on Massively Parallel Computers. Justus A. Calvin, Chong Peng, Varun Rishi, Ashutosh Kumar, and Edward F. Valeev. Chemical Reviews 2021 121 (3), 1203-1231; DOI: 10.1021/acs.chemrev.0c00006
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:107098
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:15 Dec 2020 23:17
Last Modified:11 Feb 2021 17:54

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