Name
Abstract | ||
|---|---|---|
A parallel algorithm for solving the coupled-perturbed MCSCF (CPMCSCF) equations and analytic nuclear second derivatives of CASSCF wave functions is presented. A parallel scheme for evaluating derivative integrals and their subsequent use in constructing other derivative quantities is described. The task of solving the CPMCSCF equations is approached using a parallelization scheme that partitions the electronic hessian matrix over all processors as opposed to simple partitioning of the 3 N solution vectors among the processors. The scalability of the current algorithm, up to 128 processors, is demonstrated. Using three test cases, results indicate that the parallelization of derivative integral evaluation through a simple scheme is highly effective regardless of the size of the basis set employed in the CASSCF energy calculation. Parallelization of the construction of the MCSCF electronic hessian during solution of the CPMCSCF equations varies quantitatively depending on the nature of the hessian itself, but is highly scalable in all cases. (c) 2005 Wiley Periodicals, Inc. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1002/jcc.20350 | JOURNAL OF COMPUTATIONAL CHEMISTRY |
Keywords | Field | DocType |
CASSCF,analytic harmonic frequencies,CPMCSCF,parallel algorithm,GAMESS | Mathematical optimization,Second derivative,Mathematical analysis,Parallel algorithm,Computational chemistry,Hessian matrix,Wave function,Test case,GAMESS,Basis set,Mathematics,Scalability | Journal |
Volume | Issue | ISSN |
27 | 3 | 0192-8651 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Timothy J. Dudley | 1 | 0 | 0.34 |
| Ryan M. Olson | 2 | 62 | 5.67 |
| Michael W. Schmidt | 3 | 81 | 11.56 |
| Mark S. Gordon | 4 | 283 | 25.73 |