Scientists today conduct new research via software-based experimentation and validation in a host of disciplines. Scientific software represents a significant investment due to its complexity and longevity yet there is little reuse of scientific software beyond small libraries which increases development and maintenance costs. To alleviate this disconnect, we have developed KADRE, a domain-specific architecture recovery approach and toolset to aid automatic and accurate identification of workflow components in existing scientific software. KADRE improves upon state of the art general cluster techniques, helping to promote component-based reuse within the domain.

Researchers with deep knowledge of scientific domains are becoming more interested in developing highly-adaptive and irregular (asymmetrical) parallel computations, leading to development challenges for both delivery of data for computation and mapping of processes to physical resources. Using software engineering principles, we have developed a new communications protocol and architectural style for asymmetrical parallel computations called ADaPT.Utilizing the support of architecturally-aware middleware, we show that ADaPT provides a more efficient solution in terms of message passing and load balancing than asymmetrical parallel computations using collective calls in the Message-Passing Interface (MPI) or more advanced frameworks implementing explicit load-balancing policies. Additionally, developers using ADaPT gain significant windfall from good practices in software engineering, including implementation-level support of architectural artifacts and separation of computational loci from communication protocols.