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International Journal of High Performance Computing Applications
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Coupling Multicomponent Models with MPH on Distributed Memory Computer Architectures

Yun He

Computational Research Division, Lawrence Berkeley National Laboratory Berkeley, CA 94720, USA, yeh{at}lbl.gov

Chris H. Q. Ding

Computational Research Division, Lawrence Berkeley National Laboratory Berkeley, CA 94720, USA, chqding{at}lbl.gov

A growing trend in developing large and complex applications on today’s Teraflop-scale computers is to integrate standalone and/or semi-independent program components into a comprehensive simulation package. One example is the Community Climate System Model, which consists of atmosphere, ocean, land-surface, and sea ice components. Each component is semi-independent and has been developed at a different institution. We study how this multicomponent, multi-executable application can run effectively on distributed memory architectures. For the first time, we clearly identify five effective execution modes and develop the MPH library to support application development utilizing these modes. MPH performs component-name registration, resource allocation and initial component handshaking in a flexible way.

Key Words: Multicomponent • multi-executable • component integration • distributed memory architecture • climate modeling • Community Climate System Model • Parallel Climate Model

International Journal of High Performance Computing Applications, Vol. 19, No. 3, 329-340 (2005)
DOI: 10.1177/1094342005056118
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