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Issue title: Complexity in Scalable Computing
Article type: Research Article
Authors: Kenny, Joseph P.; | Janssen, Curtis L. | Gordon, Mark S.; | Sosonkina, Masha | Windus, Theresa L.
Affiliations: Scalable Computing Research and Design, Sandia National Laboratories, Livermore, CA, USA | Department of Chemistry, Iowa State University, Ames, IA, USA | Scalable Computing Laboratory, Ames Laboratory/DOE, Iowa State University, Ames, IA, USA
Note: [] Corresponding author: Joseph P. Kenny, Scalable Computing Research and Design, Sandia National Laboratories, MS 9158, P.O. Box 969, Livermore, CA 94551-0969, USA. E-mail: [email protected].
Abstract: Cutting-edge scientific computing software is complex, increasingly involving the coupling of multiple packages to combine advanced algorithms or simulations at multiple physical scales. Component-based software engineering (CBSE) has been advanced as a technique for managing this complexity, and complex component applications have been created in the quantum chemistry domain, as well as several other simulation areas, using the component model advocated by the Common Component Architecture (CCA) Forum. While programming models do indeed enable sound software engineering practices, the selection of programming model is just one building block in a comprehensive approach to large-scale collaborative development which must also address interface and data standardization, and language and package interoperability. We provide an overview of the development approach utilized within the Quantum Chemistry Science Application Partnership, identifying design challenges, describing the techniques which we have adopted to address these challenges and highlighting the advantages which the CCA approach offers for collaborative development.
Keywords: Electronic structure, integral, component, software development
DOI: 10.3233/SPR-2008-0264
Journal: Scientific Programming, vol. 16, no. 4, pp. 287-296, 2008
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