Breaking the Million-Electron and 1 EFLOP/s Barriers: Biomolecular-Scale Ab Initio Molecular Dynamics Using MP2 Potentials

Ryan Stocks*, Jorge L.Galvez Vallejo, Fiona C.Y. Yu, Calum Snowdon, Elise Palethorpe, Jakub Kurzak, Dmytro Bykov, Giuseppe M.J. Barca

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

The accurate simulation of complex biochemical phenomena has historically been hampered by the computational requirements of high-fidelity molecular-modeling techniques. Quantum mechanical methods, such as ab initio wave-function (WF) theory, deliver the desired accuracy, but have impractical scaling for modeling biosystems with thousands of atoms. Combining molecular fragmentation with MP2 perturbation theory, this study presents an innovative approach that enables biomolecular-scale ab initio molecular dynamics (AIMD) simulations at WF theory level. Leveraging the resolution-of-the-identity approximation for Hartree-Fock and MP2 gradients, our approach eliminates computationally intensive four-center integrals and their gradients, while achieving near-peak performance on modern GPU architectures. The introduction of asynchronous time steps minimizes time step latency, overlapping computational phases and effectively mitigating load imbalances. Utilizing up to 9, 4 0 0 nodes of Frontier and achieving 5 9 % (1006.7 PFLOP/s) of its double-precision floating-point peak, our method enables us to break the million-electron and 1 EFLOP / s barriers for AIMD simulations with quantum accuracy.

Original languageEnglish
Title of host publicationProceedings of SC 2024
Subtitle of host publicationInternational Conference for High Performance Computing, Networking, Storage and Analysis
PublisherIEEE Computer Society
ISBN (Electronic)9798350352917
DOIs
Publication statusPublished - 2024
Event2024 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2024 - Atlanta, United States
Duration: 17 Nov 202422 Nov 2024

Publication series

NameInternational Conference for High Performance Computing, Networking, Storage and Analysis, SC
ISSN (Print)2167-4329
ISSN (Electronic)2167-4337

Conference

Conference2024 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2024
Country/TerritoryUnited States
CityAtlanta
Period17/11/2422/11/24

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