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Published on: September 8, 2023
Large Scale Quantum Chemistry with Tensor Processing Units
Ryan Pederson1,2,3, John Kozlowski2,3,4, Ruyi Song2,3,5
1Department of Physics and Astronomy, University of California, Irvine, California92617, United States.
Abstract:
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.
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