TY - GEN
T1 - Breaking the Million-Electron and 1 EFLOP/s Barriers
T2 - 2024 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2024
AU - Stocks, Ryan
AU - Vallejo, Jorge L.Galvez
AU - Yu, Fiona C.Y.
AU - Snowdon, Calum
AU - Palethorpe, Elise
AU - Kurzak, Jakub
AU - Bykov, Dmytro
AU - Barca, Giuseppe M.J.
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - AIMD
KW - exascale
KW - GPU
KW - quantum
KW - Terms-chemistry
UR - http://www.scopus.com/inward/record.url?scp=85215008025&partnerID=8YFLogxK
U2 - 10.1109/SC41406.2024.00015
DO - 10.1109/SC41406.2024.00015
M3 - Conference contribution
AN - SCOPUS:85215008025
T3 - International Conference for High Performance Computing, Networking, Storage and Analysis, SC
BT - Proceedings of SC 2024
PB - IEEE Computer Society
Y2 - 17 November 2024 through 22 November 2024
ER -