Coupling Multi-Component Models with MPH on Distributed MemoryComputer 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,...

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Bibliographic Details
Published in:The International Journal of High Performance Computing Applications
Main Authors: He, Yun, Ding, Chris
Language:unknown
Published: 2016
Subjects:
58 GEOSCIENCES
99 GENERAL AND MISCELLANEOUS//MATHEMATICS
COMPUTING
AND INFORMATION SCIENCE
CLIMATES
COMPUTER ARCHITECTURE
COMPUTERS
SIMULATION
Sea ice
Online Access:http://www.osti.gov/servlets/purl/891334
https://www.osti.gov/biblio/891334
https://doi.org/10.1177/1094342005056118
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.

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