Coupling Multicomponent Models with MPH on Distributed Memory Computer Architectures

Authors:
Yun He;Chris H. Q. Ding
Affiliations:
Computational Research Division, Lawrence Berkeley National Laboratory Berkeley, CA 94720, USA;Computational Research Division, Lawrence Berkeley National Laboratory Berkeley, CA 94720, USA
Venue:
International Journal of High Performance Computing Applications
Year:
2005

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Abstract

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.