A parallel distributed implementation of the second‐order Møller‐Plesset perturbation theory method, widely used in quantum chemistry, is presented. Parallelization strategy and performance for the HONDO quantum chemistry program running on a network of Unix computers are also discussed. Superlinear speedups are obtained through a combined use of the CPU and memory of the different processors. Performance for standard and direct algorithms are presented and discussed. A superdirect algorithm that eliminates the communication bottleneck during the integral transformation step is also proposed. © 1995 by John Wiley & Sons, Inc.
ASJC Scopus subject areas
- Computational Mathematics