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 language | English |
|---|---|
| Title of host publication | Proceedings of SC 2024 |
| Subtitle of host publication | International Conference for High Performance Computing, Networking, Storage and Analysis |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Number of pages | 12 |
| ISBN (Electronic) | 9798350352917 |
| DOIs | |
| Publication status | Published - 2024 |
| Externally published | Yes |
| Event | International Conference for High Performance Computing, Networking, Storage and Analysis, 2024 - Atlanta, United States of America Duration: 17 Nov 2024 → 22 Nov 2024 https://sc24.supercomputing.org/ |
Publication series
| Name | International Conference for High Performance Computing, Networking, Storage and Analysis, SC |
|---|---|
| ISSN (Print) | 2167-4329 |
| ISSN (Electronic) | 2167-4337 |
Conference
| Conference | International Conference for High Performance Computing, Networking, Storage and Analysis, 2024 |
|---|---|
| Abbreviated title | SC24 |
| Country/Territory | United States of America |
| City | Atlanta |
| Period | 17/11/24 → 22/11/24 |
| Internet address |
Keywords
- AIMD
- exascale
- GPU
- quantum
- Terms-chemistry