Literature DB >> 26588740

Acceleration of Electron Repulsion Integral Evaluation on Graphics Processing Units via Use of Recurrence Relations.

Yipu Miao1, Kenneth M Merz1.   

Abstract

Electron repulsion integral (ERI) calculation on graphical processing units (GPUs) can significantly accelerate quantum chemical calculations. Herein, the ab initio self-consistent-field (SCF) calculation is implemented on GPUs using recurrence relations, which is one of the fastest ERI evaluation algorithms currently available. A direct-SCF scheme to assemble the Fock matrix efficiently is presented, wherein ERIs are evaluated on-the-fly to avoid CPU-GPU data transfer, a well-known architectural bottleneck in GPU specific computation. Realized speedups on GPUs reach 10-100 times relative to traditional CPU nodes, with accuracies of better than 1 × 10(-7) for systems with more than 4000 basis functions.

Year:  2013        PMID: 26588740     DOI: 10.1021/ct300754n

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  2 in total

1.  TeraChem: Accelerating electronic structure and ab initio molecular dynamics with graphical processing units.

Authors:  Stefan Seritan; Christoph Bannwarth; B Scott Fales; Edward G Hohenstein; Sara I L Kokkila-Schumacher; Nathan Luehr; James W Snyder; Chenchen Song; Alexey V Titov; Ivan S Ufimtsev; Todd J Martínez
Journal:  J Chem Phys       Date:  2020-06-14       Impact factor: 3.488

2.  On the Efficient Evaluation of the Exchange Correlation Potential on Graphics Processing Unit Clusters.

Authors:  David B Williams-Young; Wibe A de Jong; Hubertus J J van Dam; Chao Yang
Journal:  Front Chem       Date:  2020-12-10       Impact factor: 5.221

  2 in total

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