%0 Journal Article %1 e.2006 %A Bernholdt, David E. %A Allan, Benjamin A. %A Armstrong, Robert %A Bertrand, Felipe %A Chiu, Kenneth %A Dahlgren, Tamara L. %A Damevski, Kostadin %A Elwasif, Wael R. %A Epperly, Thomas G. W. %A Govindaraju, Madhusudhan %A Katz, Daniel S. %A Kohl, James A. %A Krishnan, Manoj %A Kumfert, Gary %A Larson, J. Walter %A Lefantzi, Sophia %A Lewis, Michael J. %A Malony, Allen D. %A Mclnnes, Lois C. %A Nieplocha, Jarek %A Norris, Boyana %A Parker, Steven G. %A Ray, Jaideep %A Shende, Sameer %A Windus, Theresa L. %A Zhou, Shujia %B 2 %D 2006 %J International Journal of High Performance Computing Applications %K Climate HPC imported %P 163-202 %T A Component Architecture for High-Performance Scientific Computing %U http://hpc.sagepub.com/cgi/content/abstract/20/2/163 %V 20 %X 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 individals 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 computtional chemistry.

@article{e.2006, 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 individals 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 computtional chemistry.}, added-at = {2009-04-06T19:50:11.000+0200}, author = {Bernholdt, David E. and Allan, Benjamin A. and Armstrong, Robert and Bertrand, Felipe and Chiu, Kenneth and Dahlgren, Tamara L. and Damevski, Kostadin and Elwasif, Wael R. and Epperly, Thomas G. W. and Govindaraju, Madhusudhan and Katz, Daniel S. and Kohl, James A. and Krishnan, Manoj and Kumfert, Gary and Larson, J. Walter and Lefantzi, Sophia and Lewis, Michael J. and Malony, Allen D. and Mclnnes, 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}, biburl = {https://www.bibsonomy.org/bibtex/23783ec9aa35c864f5ba0702e90b63250/carolyn}, interhash = {587ac49d7dc18b995959ce51b40adf55}, intrahash = {3783ec9aa35c864f5ba0702e90b63250}, journal = {International Journal of High Performance Computing Applications}, keywords = {Climate HPC imported}, pages = {163-202}, series = 2, timestamp = {2009-04-06T19:50:11.000+0200}, title = {A Component Architecture for High-Performance Scientific Computing}, url = {http://hpc.sagepub.com/cgi/content/abstract/20/2/163}, volume = 20, year = 2006 }