A component architecture for high-performance scientific computing

Benjamin A. Allan, Robert Armstrong, David E. Bernholdt, Felipe Bertrand, Kenneth Chiu, Tamara L. Dahlgren, Kostadin Damevski, Wael R. Elwasif, Thomas G.W. Epperly, Madhusudhan Govindaraju, Daniel S. Katz, James A. Kohl, Manoj Krishnan, Gary Kumfert, J. Walter Larson, Sophia Lefantzi, Michael J. Lewis, Allen D. Malony, Lois C. McInnes, Jarek NieplochaBoyana Norris, Steven G. Parker, Jaideep Ray, Sameer Shende, Theresa L. Windus, Shujia Zhou

Research output: Contribution to journalReview article

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 coputing. 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 coputing 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 ovehead 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 cobustion research, global climate simulation, and computational chemistry.

Original languageEnglish (US)
Pages (from-to)163-202
Number of pages40
JournalInternational Journal of High Performance Computing Applications
Volume20
Issue number2
DOIs
StatePublished - Jun 1 2006
Externally publishedYes

Keywords

  • Climate modeling
  • Combustion modeling
  • Component architecture
  • Parallel computing
  • Quantum chemistry

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture

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  • Cite this

    Allan, B. A., Armstrong, R., Bernholdt, D. E., Bertrand, F., Chiu, K., Dahlgren, T. L., Damevski, K., Elwasif, W. R., Epperly, T. G. W., Govindaraju, M., Katz, D. S., Kohl, J. A., Krishnan, M., Kumfert, G., Larson, J. W., Lefantzi, S., Lewis, M. J., Malony, A. D., McInnes, L. C., ... Zhou, S. (2006). A component architecture for high-performance scientific computing. International Journal of High Performance Computing Applications, 20(2), 163-202. https://doi.org/10.1177/1094342006064488