Network-on-Chip (NoC) architectures have a wide variety of parameters that can be adapted to the designer’s requirements. Fast exploration of this parameter space is only possib...
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Cluster-based storage systems are popular for data-intensive applications and it is desirable yet challenging to provide incremental expansion and high availability while achievin...
Hong Tang, Aziz Gulbeden, Jingyu Zhou, William Str...
In this paper we present CAMELotGrid, a tool to manage Grid computations of Cellular Automata that support the efficient simulation of complex systems modeled by a very large numb...
Integrating mobile computing and localized user interaction into the Internet requires more than simply overcoming pure routing challenges. Apart from issues such as intermittent c...