The Network-on-Chip (NoC) paradigm has emerged as a promising solution for providing connectivity among the increasing number of cores that get integrated into both systems-onchip...
Michele Petracca, Benjamin G. Lee, Keren Bergman, ...
—Large scale production grids are an important case for autonomic computing. They follow a mutualization paradigm: decision-making (human or automatic) is distributed and largely...
— Centrality is a concept often used in social network analysis to study different properties of networks that are modeled as graphs. We present a new centrality metric called Lo...
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
While improving raw performance is of primary interest to most users of high-performance computers, energy consumption also is a critical concern. Some microprocessors allow volta...