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High-performance GPU-accelerated evaluation of electron repulsion integrals

Journal Article · · Molecular Physics
 [1];  [2];  [1]
  1. Department of Chemistry, Iowa State University, Ames, United States
  2. Department of Computer Science, Australian National University, Canberra, Australia
Not provided.
Research Organization:
Iowa State Univ., Ames, IA (United States)
Sponsoring Organization:
USDOE
OSTI ID:
1982406
Journal Information:
Molecular Physics, Journal Name: Molecular Physics; ISSN 0026-8976
Publisher:
Taylor & Francis
Country of Publication:
United States
Language:
English

References (28)

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Hybrid CPU/GPU Integral Engine for Strong-Scaling Ab Initio Methods journal June 2017
Efficient calculation of two-electron integrals for high angular basis functions journal January 2014
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Harnessing the Power of Multi-GPU Acceleration into the Quantum Interaction Computational Kernel Program journal June 2021
The BRUSH algorithm for two-electron integrals on GPU journal February 2015
Acceleration of Electron Repulsion Integral Evaluation on Graphics Processing Units via Use of Recurrence Relations journal December 2012
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Generating Efficient Quantum Chemistry Codes for Novel Architectures journal November 2012
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Two-electron integral evaluation on the graphics processor unit journal January 2007
An efficient algorithm for the generation of two-electron repulsion integrals over gaussian basis functions journal April 1989
Novel Computer Architectures and Quantum Chemistry journal May 2020
Dynamic Precision for Electron Repulsion Integral Evaluation on Graphical Processing Units (GPUs) journal March 2011

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