Coupling Multi-Component Models with MPH on Distributed Memory Computer Architectures

A growing trend in developing large and complex applications on today's Teraflop scale computers is to integrate stand-alone and/or semi-independent program components into a comprehensive simulation package. One example is the Community Climate System Model which consists of atmosphere, ocean,...

Full description

Bibliographic Details
Main Authors: He, Yun, Ding, Chris
Format: Article in Journal/Newspaper
Language:English
Published: eScholarship, University of California 2005
Subjects:
Online Access:http://www.escholarship.org/uc/item/2j9926mq
Description
Summary:A growing trend in developing large and complex applications on today's Teraflop scale computers is to integrate stand-alone 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 multi-component, 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.