To meet the performance demands of modern architectures, compilers incorporate an everincreasing number of aggressive code transformations. Since most of these transformations are...
Spyridon Triantafyllis, Manish Vachharajani, Neil ...
In recent years, the development of multi-objective evolutionary algorithms (MOEAs) hybridized with mathematical programming techniques has significantly increased. However, most...
Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...
: The availability of enormous amounts of un-used computing power and data storage over the In-ternet makes the development of a globally distributed computing platform, called Ove...
Paolo Bertasi, Mauro Bianco, Andrea Pietracaprina,...
We present an algorithm that restructures the state transition graph STG of a sequential circuit so as to reduce power dissipation. The STG is modi ed without changing the behav...