Breaking the Million-Electron and 1 EFLOP/s Barriers: Biomolecular-Scale Ab Initio Molecular Dynamics Using MP2 Potentials
| dc.contributor.author | Stocks, Ryan | en |
| dc.contributor.author | Vallejo, Jorge L.Galvez | en |
| dc.contributor.author | Yu, Fiona C.Y. | en |
| dc.contributor.author | Snowdon, Calum | en |
| dc.contributor.author | Palethorpe, Elise | en |
| dc.contributor.author | Kurzak, Jakub | en |
| dc.contributor.author | Bykov, Dmytro | en |
| dc.contributor.author | Barca, Giuseppe M.J. | en |
| dc.date.accessioned | 2025-05-23T02:22:50Z | |
| dc.date.available | 2025-05-23T02:22:50Z | |
| dc.date.issued | 2024 | en |
| dc.description.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. | en |
| dc.description.sponsorship | This research used resources from the Oak Ridge Leadership Computing Facility (Contract No. DE-AC05-00OR22725) and the National Energy Research Scientific Computing Center (NERSC, ERCAP0026496), supported by the U.S. Department of Energy. RS and EP thank the National Industry PhD program and QDX Technologies for additional support. The authors also thank Dr. Schnoover from Fluid Numerics for providing access to hardware resources. | en |
| dc.description.status | Peer-reviewed | en |
| dc.identifier.isbn | 9798350352917 | en |
| dc.identifier.issn | 2167-4329 | en |
| dc.identifier.scopus | 85215008025 | en |
| dc.identifier.uri | http://www.scopus.com/inward/record.url?scp=85215008025&partnerID=8YFLogxK | en |
| dc.identifier.uri | https://hdl.handle.net/1885/733750836 | |
| dc.language.iso | en | en |
| dc.publisher | IEEE Computer Society | en |
| dc.relation.ispartof | Proceedings of SC 2024: International Conference for High Performance Computing, Networking, Storage and Analysis | en |
| dc.relation.ispartofseries | 2024 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2024 | en |
| dc.relation.ispartofseries | International Conference for High Performance Computing, Networking, Storage and Analysis, SC | en |
| dc.rights | Copyright:© 2024 IEEE. | en |
| dc.subject | AIMD | en |
| dc.subject | exascale | en |
| dc.subject | GPU | en |
| dc.subject | quantum | en |
| dc.subject | Terms-chemistry | en |
| dc.title | Breaking the Million-Electron and 1 EFLOP/s Barriers: Biomolecular-Scale Ab Initio Molecular Dynamics Using MP2 Potentials | en |
| dc.type | Conference paper | en |
| dspace.entity.type | Publication | en |
| local.contributor.affiliation | Stocks, Ryan; School of Computing, ANU College of Systems and Society, The Australian National University | en |
| local.contributor.affiliation | Vallejo, Jorge L.Galvez; School of Computing, ANU College of Systems and Society, The Australian National University | en |
| local.contributor.affiliation | Yu, Fiona C.Y.; School of Computing, ANU College of Systems and Society, The Australian National University | en |
| local.contributor.affiliation | Snowdon, Calum; School of Computing, ANU College of Systems and Society, The Australian National University | en |
| local.contributor.affiliation | Palethorpe, Elise; School of Engineering, ANU College of Systems and Society, The Australian National University | en |
| local.contributor.affiliation | Kurzak, Jakub; Advanced Micro Devices | en |
| local.contributor.affiliation | Bykov, Dmytro; Oak Ridge National Laboratory | en |
| local.contributor.affiliation | Barca, Giuseppe M.J.; University of Melbourne | en |
| local.identifier.doi | 10.1109/SC41406.2024.00015 | en |
| local.identifier.essn | 2167-4337 | en |
| local.identifier.pure | 13e28606-c38c-489f-ac8b-4d6bf5cb6ecf | en |
| local.identifier.url | https://www.scopus.com/pages/publications/85215008025 | en |
| local.type.status | Published | en |