Parallel Scientific Computation
- 13 August 1993
- journal article
- research article
- Published by American Association for the Advancement of Science (AAAS) in Science
- Vol. 261 (5123) , 856-863
- https://doi.org/10.1126/science.261.5123.856
Abstract
Massively parallel computers offer scientists a new tool for computation, with capabilities and limitations that are substantially different from those of traditional serial computers. Most categories of large-scale scientific computations have proven remarkably amenable to parallel computation, but often the algorithms involved are different from those used on sequential machines. By surveying a range of examples of parallel scientific computations, this article summarizes our current understanding of the issues of applicability and programming of parallel computers for scientific applications.Keywords
This publication has 23 references indexed in Scilit:
- High Performance FortranACM SIGPLAN Fortran Forum, 1994
- The weakest bond: Experimental observation of helium dimerThe Journal of Chemical Physics, 1993
- A deterministic parallel algorithm to solve a model Boltzmann equation (BGK)Computing Systems in Engineering, 1992
- A parallel multigrid algorithm for percolation clustersJournal of Statistical Physics, 1991
- Nonuniversal critical dynamics in Monte Carlo simulationsPhysical Review Letters, 1987
- A hierarchical O(N log N) force-calculation algorithmNature, 1986
- Data parallel algorithmsCommunications of the ACM, 1986
- An algorithm for the machine calculation of complex Fourier seriesMathematics of Computation, 1965
- Monte Carlo Calculations of the Ground State of Three- and Four-Body NucleiPhysical Review B, 1962
- The Monte Carlo MethodJournal of the American Statistical Association, 1949