Enabling the efficient use of SMP clusters: The GAMESS/DDI model

Ryan M. Olson, Michael W. Schmidt, Mark S. Gordon, Alistair P. Rendell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Citations (Scopus)

Abstract

An important advance in cluster computing is the evolution from single processor clusters to multi-processor SMP clusters. Due to the increased complexity in the memory model on SMP clusters, new approaches are needed for applications that make use of distributed-memory paradigms. This paper presents new communications software developments that are designed to take advantage of SMP cluster hardware. Although the specific focus is on the central field of computational chemistry and materials science, as embodied in the popular electronic structure package GAMESS (General Atomic and Molecular Electronic Structure System), the impact of these new developments will be far broader in scope. Following a summary of the essential features of the distributed data interface (DDI) in the current implementation of GAMESS, the new developments for SMP clusters are described. The advantages of these new features are illustrated using timing benchmarks on several hardware platforms, using a typical computational chemistry application.

Original languageEnglish
Title of host publicationProceedings of the 2003 ACM/IEEE Conference on Supercomputing, SC 2003
Number of pages10
DOIs
Publication statusPublished - Dec 2003
Externally publishedYes
Event2003 ACM/IEEE Conference on Supercomputing, SC 2003 - Phoenix, AZ, United States
Duration: 15 Nov 200321 Nov 2003

Publication series

NameProceedings of the 2003 ACM/IEEE Conference on Supercomputing, SC 2003

Conference

Conference2003 ACM/IEEE Conference on Supercomputing, SC 2003
CountryUnited States
CityPhoenix, AZ
Period15/11/0321/11/03

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  • Cite this

    Olson, R. M., Schmidt, M. W., Gordon, M. S., & Rendell, A. P. (2003). Enabling the efficient use of SMP clusters: The GAMESS/DDI model. In Proceedings of the 2003 ACM/IEEE Conference on Supercomputing, SC 2003 (Proceedings of the 2003 ACM/IEEE Conference on Supercomputing, SC 2003). https://doi.org/10.1145/1048935.1050191