Traditional programming languages are algorithmic: they are best suited to writing programs that acquire all their inputs before executing and only produce a result on termination...
This paper overviews the Modeling Turnpike (mTurnpike) project, which investigates a generic model-driven development framework that supports various domain-specific solutions (i.e...
Recent studies have showed the effectiveness of job co-scheduling in alleviating shared-cache contention on Chip Multiprocessors. Although program inputs affect cache usage and thu...
In this work, we introduce a new framework able to deal with a reasoning that is at the same time non monotonic and uncertain. In order to take into account a certainty level assoc...
Recently, the stable model semantics was extended to the syntax of arbitrary propositional formulas, which are beyond the traditional rule form. Cabalar and Ferraris, as well as Ca...