Abstract
Commercial component-based software engineering practices, such as the CORBA component model, Enterprise JavaBeans, and COM, are well-established in the business computing community. These practices present an approach for managing the increasing complexity of scientific software development, which has motivated the Common Component Architecture (CCA), a component specification targeted at high-performance scientific application development. The CCA is an approach to component development that is minimal in terms of the complexity of component interface requirements and imposes a minimal performance penalty. While this lightweight specification has enabled the development of a number of high-performance scientific components in several domains, the software design process for developing component-based scientific codes is not yet well defined. This fact, coupled with the fact that component-based approaches are still new to the scientific community, may lead to an ad hoc design process, potentially resulting in code that is harder to maintain, extend, and test and may negatively affect performance. We explore some concepts and approaches based on widely accepted software architecture design principles and discuss their potential application in the development of high-performance scientific component applications. We particularly emphasize those principles and approaches that contribute to making CCA-based applications easier to design, implement, and maintain, as well as enabling dynamic adaptivity with the goal of maximizing performance.
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Norris, B. (2006). Software Architecture Issues in Scientific Component Development. In: Dongarra, J., Madsen, K., Waśniewski, J. (eds) Applied Parallel Computing. State of the Art in Scientific Computing. PARA 2004. Lecture Notes in Computer Science, vol 3732. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558958_75
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DOI: https://doi.org/10.1007/11558958_75
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