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Title: Extending Scalability of the Community Atmosphere Model

Abstract

The Community Atmosphere Model (CAM) is the atmospheric component of the Community Climate System Model (CCSM), and is the largest consumer of computing resources in typical CCSM simulations. The parallel implementation of the Community Atmosphere Model (CAM) employs a number of different domain decompositions. Currently, each decomposition must utilize the same number of MPI processes, limiting the scalability of CAM to that of the least scalable decomposition. This limitation becomes unacceptably restrictive when including additional physical processes such as atmospheric chemistry or cloud resolving physics. This paper reports on current efforts to improve CAM scalability by allowing the number of active MPI processes to vary between domain decompositions.

Authors:
 [1];  [2]
  1. Lawrence Livermore National Laboratory (LLNL)
  2. ORNL
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Center for Computational Sciences
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
958804
DOE Contract Number:
DE-AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: SciDAC 2007, Boston, MA, USA, 20070624, 20070628
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; ATMOSPHERIC CHEMISTRY; CLIMATES; CLOUDS; IMPLEMENTATION; PHYSICS; COMPUTERS

Citation Formats

Mirin, Arthur, and Worley, Patrick H. Extending Scalability of the Community Atmosphere Model. United States: N. p., 2007. Web.
Mirin, Arthur, & Worley, Patrick H. Extending Scalability of the Community Atmosphere Model. United States.
Mirin, Arthur, and Worley, Patrick H. Mon . "Extending Scalability of the Community Atmosphere Model". United States. doi:.
@article{osti_958804,
title = {Extending Scalability of the Community Atmosphere Model},
author = {Mirin, Arthur and Worley, Patrick H},
abstractNote = {The Community Atmosphere Model (CAM) is the atmospheric component of the Community Climate System Model (CCSM), and is the largest consumer of computing resources in typical CCSM simulations. The parallel implementation of the Community Atmosphere Model (CAM) employs a number of different domain decompositions. Currently, each decomposition must utilize the same number of MPI processes, limiting the scalability of CAM to that of the least scalable decomposition. This limitation becomes unacceptably restrictive when including additional physical processes such as atmospheric chemistry or cloud resolving physics. This paper reports on current efforts to improve CAM scalability by allowing the number of active MPI processes to vary between domain decompositions.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jan 01 00:00:00 EST 2007},
month = {Mon Jan 01 00:00:00 EST 2007}
}

Conference:
Other availability
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