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Elise Palethorpe

dblp:391/8641 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
High-performance computing · 87% GPUs and heterogeneous computing · 13%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational science and engineering › computational chemistry
ab initio molecular dynamics
0.812024
Breaking the Million-Electron and 1 EFLOP/s Barriers: Biomolecular-Scale Ab Initio Molecular Dynamics Using MP2 Potentials · SC 2024
Computational science and engineering › computational chemistry › molecular simulation
molecular dynamics
0.812024
Breaking the Million-Electron and 1 EFLOP/s Barriers: Biomolecular-Scale Ab Initio Molecular Dynamics Using MP2 Potentials · SC 2024
High-performance computing › scientific computing systems
biomolecular simulation
0.812024
Breaking the Million-Electron and 1 EFLOP/s Barriers: Biomolecular-Scale Ab Initio Molecular Dynamics Using MP2 Potentials · SC 2024
High-performance computing
scientific computing systems
0.812024
Breaking the Million-Electron and 1 EFLOP/s Barriers: Biomolecular-Scale Ab Initio Molecular Dynamics Using MP2 Potentials · SC 2024
GPUs and heterogeneous computing
GPU-accelerated scientific computing
0.212024
Breaking the Million-Electron and 1 EFLOP/s Barriers: Biomolecular-Scale Ab Initio Molecular Dynamics Using MP2 Potentials · SC 2024

Methods — techniques the papers use, named apart from their topics

resolution-of-identity approximation · 1.5molecular fragmentation · 1.5asynchronous time stepping · 1.5MP2 perturbation theory · 1.5
YearPublicationVenuePosition
2024 Breaking the Million-Electron and 1 EFLOP/s Barriers: Biomolecular-Scale Ab Initio Molecular Dynamics Using MP2 Potentials
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 $\mathbf{9, 4 0 0}$ nodes of Frontier and achieving $\mathbf{5 9 \%}$ (1006.7 PFLOP/s) of its double-precision floating-point peak, our method enables us to break the million-electron and $1 \mathrm{EFLOP} / \mathrm{s}$ barriers for AIMD simulations with quantum accuracy.
Ryan Stocks, Jorge L. Galvez Vallejo, Fiona C. Y. Yu, Calum Snowdon, Elise Palethorpe, Jakub Kurzak, Dmytro Bykov, Giuseppe M. J. Barca
SC5