Coupling Multi-Component Models with MPH on Distributed Memory Computer Architectures
Abstract 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 atmospher...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.1049.7915 2023-05-15T18:18:09+02:00 Coupling Multi-Component Models with MPH on Distributed Memory Computer Architectures Yun He Chris Ding The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1049.7915 en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1049.7915 Metadata may be used without restrictions as long as the oai identifier remains attached to it. https://digital.library.unt.edu/ark%3A/67531/metadc883743/m2/1/high_res_d/891334.pdf text ftciteseerx 2020-04-05T00:25:37Z Abstract 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. Text Sea ice Unknown |
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Abstract 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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The Pennsylvania State University CiteSeerX Archives |
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Text |
author |
Yun He Chris Ding |
spellingShingle |
Yun He Chris Ding Coupling Multi-Component Models with MPH on Distributed Memory Computer Architectures |
author_facet |
Yun He Chris Ding |
author_sort |
Yun He |
title |
Coupling Multi-Component Models with MPH on Distributed Memory Computer Architectures |
title_short |
Coupling Multi-Component Models with MPH on Distributed Memory Computer Architectures |
title_full |
Coupling Multi-Component Models with MPH on Distributed Memory Computer Architectures |
title_fullStr |
Coupling Multi-Component Models with MPH on Distributed Memory Computer Architectures |
title_full_unstemmed |
Coupling Multi-Component Models with MPH on Distributed Memory Computer Architectures |
title_sort |
coupling multi-component models with mph on distributed memory computer architectures |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1049.7915 |
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Sea ice |
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Sea ice |
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https://digital.library.unt.edu/ark%3A/67531/metadc883743/m2/1/high_res_d/891334.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1049.7915 |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766194608056827904 |