Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Enabling Large-Scale Correlated Electronic Structure Calculations: Scaling the RI-MP2 Method on Summit

Loading...
Thumbnail Image

Date

Authors

Barca, Giuseppe Maria Junior
Vallejo, Jorge L. Galvez
Poole, David
Alkan, Melisa
Stocks, Ryan
Rendell, Alistair P.
Gordon, Mark S

Journal Title

Journal ISSN

Volume Title

Publisher

Association for Computing Machinery (ACM)

Abstract

Second-order Moller-Plesset perturbation theory using the Resolutionof-the-Identity approximation (RI-MP2) is a state-of-The-Art approach to accurately estimate many-body electronic correlation effects. This is critical for predicting the physicochemical properties of complex molecular systems; however, the scale of these calculations is limited by their extremely high computational cost. In this paper, a novel many-GPU algorithm and implementation of a molecular-fragmentation-based RI-MP2 method are presented that enable correlated calculations on over 180,000 electrons and 45,000 atoms using up to the entire Summit supercomputer in 12 minutes. The implementation demonstrates remarkable speedups with respect to other current GPU and CPU codes, excellent strong scalability on Summit achieving 89.1% parallel efficiency on 4600 nodes, and shows nearly-ideal weak scaling up to 612 nodes. This work makes feasible ab initio correlated quantum chemistry calculations on significantly larger molecular scales than before on both large supercomputing systems and on commodity clusters, with a potential for major impact on progress in chemical, physical, biological and engineering sciences.

Description

Citation

Source

SC '21: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis

Book Title

Entity type

Access Statement

License Rights

Restricted until

2099-12-31