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Title: A Component Architecture for High-Performance Scientific Computing

Abstract

The Common Component Architecture (CCA) provides a means for software developers to manage the complexity of large-scale scientific simulations and to move toward a plug-and-play environment for high-performance computing. In the scientific computing context, component models also promote collaboration using independently developed software, thereby allowing particular individuals or groups to focus on the aspects of greatest interest to them. The CCA supports parallel and distributed computing as well as local high-performance connections between components in a language-independent manner. The design places minimal requirements on components and thus facilitates the integration of existing code into the CCA environment. The CCA model imposes minimal overhead to minimize the impact on application performance. The focus on high performance distinguishes the CCA from most other component models. The CCA is being applied within an increasing range of disciplines, including combustion research, global climate simulation, and computational chemistry.

Authors:
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Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
887352
Report Number(s):
PNNL-SA-40589
KJ0101030; TRN: US200618%%3
DOE Contract Number:
AC05-76RL01830
Resource Type:
Journal Article
Resource Relation:
Journal Name: International Journal of High Performance Computing Applications; Journal Volume: 20; Journal Issue: 2
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; COMPUTER ARCHITECTURE; DESIGN; PERFORMANCE; USES

Citation Formats

Bernholdt, David E, Allan, Benjamin A, Armstrong, Robert C, Bertrand, Felipe, Chiu, Kenneth, Dahlgren, Tamara L, Damevski, Kostadin, Elwasif, Wael R, Epperly, Thomas G, Govindaraju, Madhusudhan, Katz, Daniel S, Kohl, James A, Krishnan, Manoj Kumar, Kumfert, Gary K, Larson, J Walter, Lefantzi, Sophia, Lewis, Michael J, Malony, Allen D, McInnes, Lois C, Nieplocha, Jarek, Norris, Boyana, Parker, Steven G, Ray, Jaideep, Shende, Sameer, Windus, Theresa L, and Zhou, Shujia. A Component Architecture for High-Performance Scientific Computing. United States: N. p., 2006. Web.
Bernholdt, David E, Allan, Benjamin A, Armstrong, Robert C, Bertrand, Felipe, Chiu, Kenneth, Dahlgren, Tamara L, Damevski, Kostadin, Elwasif, Wael R, Epperly, Thomas G, Govindaraju, Madhusudhan, Katz, Daniel S, Kohl, James A, Krishnan, Manoj Kumar, Kumfert, Gary K, Larson, J Walter, Lefantzi, Sophia, Lewis, Michael J, Malony, Allen D, McInnes, Lois C, Nieplocha, Jarek, Norris, Boyana, Parker, Steven G, Ray, Jaideep, Shende, Sameer, Windus, Theresa L, & Zhou, Shujia. A Component Architecture for High-Performance Scientific Computing. United States.
Bernholdt, David E, Allan, Benjamin A, Armstrong, Robert C, Bertrand, Felipe, Chiu, Kenneth, Dahlgren, Tamara L, Damevski, Kostadin, Elwasif, Wael R, Epperly, Thomas G, Govindaraju, Madhusudhan, Katz, Daniel S, Kohl, James A, Krishnan, Manoj Kumar, Kumfert, Gary K, Larson, J Walter, Lefantzi, Sophia, Lewis, Michael J, Malony, Allen D, McInnes, Lois C, Nieplocha, Jarek, Norris, Boyana, Parker, Steven G, Ray, Jaideep, Shende, Sameer, Windus, Theresa L, and Zhou, Shujia. Mon . "A Component Architecture for High-Performance Scientific Computing". United States. doi:.
@article{osti_887352,
title = {A Component Architecture for High-Performance Scientific Computing},
author = {Bernholdt, David E and Allan, Benjamin A and Armstrong, Robert C and Bertrand, Felipe and Chiu, Kenneth and Dahlgren, Tamara L and Damevski, Kostadin and Elwasif, Wael R and Epperly, Thomas G and Govindaraju, Madhusudhan and Katz, Daniel S and Kohl, James A and Krishnan, Manoj Kumar and Kumfert, Gary K and Larson, J Walter and Lefantzi, Sophia and Lewis, Michael J and Malony, Allen D and McInnes, Lois C and Nieplocha, Jarek and Norris, Boyana and Parker, Steven G and Ray, Jaideep and Shende, Sameer and Windus, Theresa L and Zhou, Shujia},
abstractNote = {The Common Component Architecture (CCA) provides a means for software developers to manage the complexity of large-scale scientific simulations and to move toward a plug-and-play environment for high-performance computing. In the scientific computing context, component models also promote collaboration using independently developed software, thereby allowing particular individuals or groups to focus on the aspects of greatest interest to them. The CCA supports parallel and distributed computing as well as local high-performance connections between components in a language-independent manner. The design places minimal requirements on components and thus facilitates the integration of existing code into the CCA environment. The CCA model imposes minimal overhead to minimize the impact on application performance. The focus on high performance distinguishes the CCA from most other component models. The CCA is being applied within an increasing range of disciplines, including combustion research, global climate simulation, and computational chemistry.},
doi = {},
journal = {International Journal of High Performance Computing Applications},
number = 2,
volume = 20,
place = {United States},
year = {Mon Jul 03 00:00:00 EDT 2006},
month = {Mon Jul 03 00:00:00 EDT 2006}
}