The DOE parallel climate model (PCM): The computational highway and backroads

Thomas Bettge, Anthony Craig, Rodney James, Vincent Wayland, Gary Strand

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

The DOE Parallel Climate Model (PCM) is used to simulate the earth’s climate system and has been used to study the climate of the 20th century and to project possible climate changes into the 21st century and beyond. It was designed for use on distributed memory, highly parallel, architectures. The computational requirements and design of the model are discussed, as well as its performance and scalability characteristics. A method for port validation is demonstrated. The shortcomings of the current model are summarized and future design plans are presented.

Original languageEnglish
Title of host publicationComputational Science - ICCS 2001 - International Conference, 2001, Proceedings
EditorsVassil N. Alexandrov, Jack J. Dongarra, Benjoe A. Juliano, René S. Renner, C.J. Kenneth Tan
PublisherSpringer Verlag
Pages149-158
Number of pages10
ISBN (Print)3540422323, 9783540422327
DOIs
StatePublished - 2001
EventInternational Conference on Computational Science, ICCS 2001 - San Francisco, United States
Duration: May 28 2001May 30 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2073
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Computational Science, ICCS 2001
Country/TerritoryUnited States
CitySan Francisco
Period05/28/0105/30/01

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