title: Parallel stored-integral and semidirect Hartree-Fock and DFT methods with data compression.
abstract: 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 modern 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.
authors.affiliation: Department of Chemistry and Biochemistry, University of Arkansas, Fayetteville, Arkansas 72701, USA.
authors.forename: Alexander V
authors.initials: AV
authors.lastname: Mitin
authors.forename: Jon
authors.initials: J
authors.lastname: Baker
authors.forename: Krzysztof
authors.initials: K
authors.lastname: Wolinski
authors.forename: Peter
authors.initials: P
authors.lastname: Pulay