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Constraints are used to solve combinatorial problems in a variety of industrial and academic disciplines. However most constraint solvers are designed to be general and monolithic, leading to problems with efficiency, scalability and extensibility. We propose a novel, architecture-driven constraint solver generation framework called Dominion to tackle these issues. For any given problem, Dominion...
Efficiently using the hardware capabilities of the Cell processor, a heterogeneous chip multiprocessor that uses several levels of parallelism to deliver high performance, and being able to reuse legacy code are real challenges for application developers. We propose to use Generative Programming and more precisely template meta-programming to design an domain specific embedded language using algorithmic...
A plethora of domain-specific component frameworks (DSCF) emerges. Although the current trend emphasizes generative programming methods as cornerstones of software development, they are commonly applied in a costly, ad-hoc fashion. However, we believe that DSCFs share the same subset of concepts and patterns. In this paper we propose two contributions to DSCF development. First, we propose domain...
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