We describe a Markov chain Monte Carlo (MCMC)-based algorithm for sampling solutions to mixed Boolean/integer constraint problems. The focus of this work differs in two points from...
In this paper, we present an extension of PHIL, a declarative language for filtering information from XML data. The proposed approach allows us to extract relevant data as well a...
In the last two decades we have witnessed an impressive advance in the efficiency of propositional satisfiability techniques (SAT), which has brought large and previously-intractab...
To meet the conflicting goals of high-performance low-cost embedded systems, critical application loop nests are commonly executed on specialized hardware accelerators. These loop...
Kevin Fan, Manjunath Kudlur, Hyunchul Park, Scott ...
E cient storage and retrieval of multi-attribute datasets have become one of the essential requirements for many data-intensive applications. The Cartesian product le has been kno...