Massively Parallel Computational Chemistry with the Super Instruction Architecture and ACES4.


Journal

The journal of physical chemistry. A
ISSN: 1520-5215
Titre abrégé: J Phys Chem A
Pays: United States
ID NLM: 9890903

Informations de publication

Date de publication:
23 Aug 2024
Historique:
medline: 23 8 2024
pubmed: 23 8 2024
entrez: 23 8 2024
Statut: aheadofprint

Résumé

The task of developing high-performing parallel software must be made easier and more cost-effective in order to fully exploit existing and emerging large-scale computer systems for the advancement of science. The Super Instruction Architecture (SIA) is a parallel programming platform geared toward applications that need to manage large amounts of data stored in potentially sparse multidimensional arrays during calculations. The SIA platform was originally designed for the quantum chemistry software package ACESIII. More recently, the SIA was reimplemented to overcome the limitations in the original ACESIII program. It has now been successfully employed in the new ACES4 quantum chemistry software package. This paper describes the SIA and ACES4 and illustrates their capabilities with some difficult quantum chemistry open-shell coupled-cluster benchmark calculations.

Identifiants

pubmed: 39177160
doi: 10.1021/acs.jpca.4c04146
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Jason N Byrd (JN)

ENSCO, Inc., Melbourne, Florida 32940, United States.

Victor F Lotrich (VF)

ENSCO, Inc., Melbourne, Florida 32940, United States.

Beverly A Sanders (BA)

Department of Computer & Information Science & Engineering, University of Florida, Gainesville, Florida 32611, United States.

Classifications MeSH