An atomic orbital-based formulation of the complete active space self-consistent field method on graphical processing units

Abstract

Despite its importance, state-of-the-art algorithms for performing complete active space self-consistent field (CASSCF) computations have lagged far behind those for single reference methods. We develop an algorithm for the CASSCF orbital optimization that uses sparsity in the atomic orbital (AO) basis set to increase the applicability of CASSCF. Our implementation of this algorithm uses graphical processing units (GPUs) and has allowed us to perform CASSCF computations on molecular systems containing more than one thousand atoms. Additionally, we have implemented analytic gradients of the CASSCF energy; the gradients also benefit from GPU acceleration as well as sparsity in the AO basis.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jun 08, 2015
Source ID
10.1063/1.4921956

Entities

People

  • Edward G Hohenstein
  • Ivan S. Ufimtsev
  • Nathan Luehr
  • Todd Martinez

Organizations

  • National Science Foundation
  • SLAC National Accelerator Laboratory
  • Stanford University
  • United States Department of Defense

Tags

Readers

  • Asian Economic Studies
  • Distributed Systems and Data Platform Development
  • Parallel and Distributed Computing.

Technology Areas

  • Space
  • Space - Space Objects