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Quantum Chemistry on Graphical Processing Units. 3. Analytical Energy Gradients, Geometry Optimization, and First Principles Molecular Dynamics

Ivan S. Ufimtsev, Todd J. Martinez
Department of Chemistry, Stanford University, Stanford, California 94305
Journal of Chemical Theory and Computation, Vol. 5, No. 10. (13 October 2009), pp. 2619-2628

@article{ufimtsev2009quantum,

   title={Quantum Chemistry on Graphical Processing Units. 3. Analytical Energy Gradients, Geometry Optimization, and First Principles Molecular Dynamics},

   author={Ufimtsev, I.S. and Martinez, T.J.},

   journal={Journal of Chemical Theory and Computation},

   volume={5},

   number={10},

   pages={2619–2628},

   issn={1549-9618},

   year={2009},

   publisher={ACS Publications}

}

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We demonstrate that a video gaming machine containing two consumer graphical cards can outpace a state-of-the-art quad-core processor workstation by a factor of more than 180x in Hartree-Fock energy + gradient calculations. Such performance makes it possible to run large scale Hartree-Fock and Density Functional Theory calculations, which typically require hundreds of traditional processor cores, on a single workstation. Benchmark Born-Oppenheimer molecular dynamics simulations are performed on two molecular systems using the 3-21G basis set – a hydronium ion solvated by 30 waters (94 atoms, 405 basis functions) and an aspartic acid molecule solvated by 147 waters (457 atoms, 2014 basis functions). Our GPU implementation can perform 27 ps/day and 0.7 ps/day of ab initio molecular dynamics simulation on a single desktop computer for these systems.
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