Parallel stored-integral and semidirect Hartree-Fock and DFT methods with data compression
by Mitin, A. V.; Baker, J.; Wolinski, K.; Pulay, P.
Recent developments in magnetic disk technology have made stored-integral techniques competitive with the currently more widely used direct methods, which involve the recalculation of the basic two-electron integrals. We present efficient conventional (all integrals stored) and semidirect Hartree-Fock and DFT algorithms with data compression for single-processor and distributed memory parallel computers, and compare them with the corresponding direct algorithms. On inexpensive modem personal computer-based hardware, the stored integral method is up to three times more efficient than the direct method in terms of total elapsed job time.
- Journal
- Journal of Computational Chemistry
- Volume
- 24
- Issue
- 2
- Year
- 2003
- Start Page
- 154-160
- URL
- https://dx.doi.org/10.1002/jcc.10152
- ISBN/ISSN
- 1096-987X; 0192-8651
- DOI
- 10.1002/jcc.10152