Multicore processors are an architectural paradigm shift that promises a dramatic increase in performance. But, they also bring an unprecedented level of complexity in algorithmic ...
Daniele Paolo Scarpazza, Oreste Villa, Fabrizio Pe...
Artificial neural networks are a key tool for researchers attempting to understand and replicate the behaviour and intelligence found in biological neural networks. Software simul...
Coupled systems comprise multiple interacting subsystems and are an increasingly common computational science application, most notably as multiscale and multiphysics models. Paral...
In this paper, we define and study a new class of capacity planning models called MAP queueing networks. MAP queueing networks provide the first analytical methodology to describe ...
Abstract. Experimenting and building integrated, operational systems in computational vision poses both theoretical and practical challenges, involving methodologies from control t...