Abstract: We propose an effective algorithm for power optimization in behavioral synthesis. In previous work, it has been shown that several hardware allocation/binding problems fo...
Competitive learning is a technique for training classification and clustering networks. We have designed and fabricated an 11transistor primitive, that we term an automaximizing ...
This paper deals with the problem of scheduling aperiodic groups of tasks in distributed systems. It proposes two contributions, namely: i) a distributed scheduling algorithm to b...
Paolo Bizzarri, Andrea Bondavalli, Felicita Di Gia...
Distributed computing has been slow to benefit from the productivity revolution that has transformed the desktop. We still treat the Web as a separate technology space: programmer...
: Scalable Distributed Data Structures (SDDSs) store large scalable files over a distributed RAM of nodes in a grid or a P2P network. The files scale transparently for the applicat...