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Large Scale Quantum Chemistry with Tensor Processing Units

delete2022-12-12
delete21
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OA
AI
R
Ryan Pederson *
J
John Kozlowski
R
Ruyi Song
J
Jackson Beall
M
Martin Ganahl
M
Markus Hauru
A
Adam G. M. Lewis
Y
Yi Yao
S
Shrestha Basu Mallick
V
Volker Blüm
G
Guifré Vidal
DOI:10.1021/acs.jctc.2c00876delete
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Abstract

Abstract

En 中文
We demonstrate the use of Googles cloud-based Tensor Processing Units (TPUs) to accelerate and scale up conventional (cubic scaling) density functional theory (DFT) calculations. Utilizing 512 TPU cores, we accomplish the largest such DFT computation to date, with 247848 orbitals, corresponding to a cluster of 10327 water molecules with 103270 electrons, all treated explicitly. Our work thus paves the way toward accessible and systematic use of conventional DFT, free of any system-specific constraints, at unprecedented scales.
Keywords:
DENSITY-FUNCTIONAL CALCULATIONS
PERFORMANCE
ORIGINS

Journal

Journal of Chemical Theory and Computation cover
Journal of Chemical Theory and Computation
IF:
5.5
Papers:
1.1W
Citations:
5.4W

Organization

D
Duke University
Scholars:
6.3W
Papers: 5.7W
Citations: 6.5W
University of California System cover
University of California System
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37.2W
Papers: 33.6W
Citations: 6.6K
U
university of california irvine
Scholars:
2.2W
Papers: 1.7W
Citations: 55
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