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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Ufimtsev, Ivan S.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (8/8 displayed)
- 2013Generating Efficient Quantum Chemistry Codes for Novel Architecturescitations
- 2013Generating Efficient Quantum Chemistry Codes for Novel Architectures.
- 2011Dynamic Precision for Electron Repulsion Integral Evaluation on Graphical Processing Units (GPUs)citations
- 2011Dynamic Precision for Electron Repulsion Integral Evaluation on Graphical Processing Units (GPUs).
- 2009Quantum Chemistry on Graphical Processing Units. 2. Direct Self-Consistent-Field Implementation.
- 2009Quantum Chemistry on Graphical Processing Units. 2. Direct Self-Consistent-Field Implementationcitations
- 2008Quantum chemistry on graphical processing units. 1. Strategies for two-electron integral evaluationcitations
- 2008Quantum Chemistry on Graphical Processing Units. 1. Strategies for Two-Electron Integral Evaluation.
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article
Quantum chemistry on graphical processing units. 1. Strategies for two-electron integral evaluation
Abstract
Modern videogames place increasing demands on the computational and graphical hardware, leading to novel architectures that have great potential in the context of high performance computing and molecular simulation. We demonstrate that Graphical Processing Units (GPUs) can be used very efficiently to calculate two-electron repulsion integrals over Gaussian basis functions [Formula: see text] the first step in most quantum chemistry calculations. A benchmark test performed for the evaluation of approximately 10(6) (ss|ss) integrals over contracted s-orbitals showed that a naïve algorithm implemented on the GPU achieves up to 130-fold speedup over a traditional CPU implementation on an AMD Opteron. Subsequent calculations of the Coulomb operator for a 256-atom DNA strand show that the GPU advantage is maintained for basis sets including higher angular momentum functions.