Computational chemistry on Fujitsu vector-parallel processors: Development and performance of applications software

Alistair P. Rendell, Andrey Bliznyuk, Thomas Huber, Ross H. Nobes, Elena V. Akhmatskaya, Herbert A. Früchtl, Paul W.C. Kung, Victor Milman, Han Lung

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

In this and a preceding paper, we provide an introduction to the Fujitsu VPP range of vector-parallel supercomputers and to some of the computational chemistry software available for the VPP. Here, we consider the implementation and performance of seven popular chemistry application packages. The codes discussed range from classical molecular dynamics to semiempirical and ab initio quantum chemistry. All have evolved from sequential codes, and have typically been parallelized using a replicated data approach. As such they are well suited to the large-memory/fast-processor architecture of the VPP. For one code, CASTEP, a distributed-memory data-driven parallelization scheme is presented.

Original languageEnglish
Pages (from-to)887-911
Number of pages25
JournalParallel Computing
Volume26
Issue number7-8
DOIs
Publication statusPublished - Jul 2000
Externally publishedYes

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    Rendell, A. P., Bliznyuk, A., Huber, T., Nobes, R. H., Akhmatskaya, E. V., Früchtl, H. A., Kung, P. W. C., Milman, V., & Lung, H. (2000). Computational chemistry on Fujitsu vector-parallel processors: Development and performance of applications software. Parallel Computing, 26(7-8), 887-911. https://doi.org/10.1016/S0167-8191(00)00017-X