Design and performance of a scalable parallel community climate model

John Drake; Ian Foster; John Michalakes; Brian Toonen; Patrick Worley

doi:10.1016/0167-8191(96)80001-9

Design and performance of a scalable parallel community climate model

John Drake, Ian Foster, John Michalakes, Brian Toonen, Patrick Worley

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Abstract

We describe the design of a parallel global atmospheric circulation model, PCCM2. This parallel model is functionally equivalent to the National Center for Atmospheric Research's Community Climate Model, CCM2, but is structured to exploit distributed memory multi-computers. PCCM2 incorporates parallel spectral transform, semi-Lagrangian transport, and load balancing algorithms. We present detailed performance results on the IBM SP2 and Intel Paragon. These results provide insights into the scalability of the individual parallel algorithms and of the parallel model as a whole.

Original language	English
Pages (from-to)	1571-1591
Number of pages	21
Journal	Parallel Computing
Volume	21
Issue number	10
DOIs	https://doi.org/10.1016/0167-8191(96)80001-9
State	Published - Oct 1995

Keywords

Atmospheric general circulation modeling
Climate modeling
Message passing
Semi-Lagrangian transport
Spectral transform

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10.1016/0167-8191(96)80001-9

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abstract = "We describe the design of a parallel global atmospheric circulation model, PCCM2. This parallel model is functionally equivalent to the National Center for Atmospheric Research's Community Climate Model, CCM2, but is structured to exploit distributed memory multi-computers. PCCM2 incorporates parallel spectral transform, semi-Lagrangian transport, and load balancing algorithms. We present detailed performance results on the IBM SP2 and Intel Paragon. These results provide insights into the scalability of the individual parallel algorithms and of the parallel model as a whole.",

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AU - Drake, John

AU - Foster, Ian

AU - Michalakes, John

AU - Toonen, Brian

AU - Worley, Patrick

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AB - We describe the design of a parallel global atmospheric circulation model, PCCM2. This parallel model is functionally equivalent to the National Center for Atmospheric Research's Community Climate Model, CCM2, but is structured to exploit distributed memory multi-computers. PCCM2 incorporates parallel spectral transform, semi-Lagrangian transport, and load balancing algorithms. We present detailed performance results on the IBM SP2 and Intel Paragon. These results provide insights into the scalability of the individual parallel algorithms and of the parallel model as a whole.

KW - Atmospheric general circulation modeling

KW - Climate modeling

KW - Message passing

KW - Semi-Lagrangian transport

KW - Spectral transform

UR - https://www.scopus.com/pages/publications/0029389354

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JO - Parallel Computing

JF - Parallel Computing

IS - 10

ER -

Design and performance of a scalable parallel community climate model

Abstract

Keywords

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