We propose an architecture for self-adjusting and self-healing atomic memory in highly dynamic systems exploiting peer-to-peer (p2p) techniques. Our approach, named SAM, brings to...
Emmanuelle Anceaume, Maria Gradinariu, Vincent Gra...
Abstract. Quasi-Monte Carlo methods are based on the idea that random Monte Carlo techniques can often be improved by replacing the underlying source of random numbers with a more ...
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
Efficient and deadlock-free routing is critical to the performance of networks-on-chip. In this paper we present an approach that can be coupled to any adaptive routing algorithm ...
Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi,...
It is known that the behavior of non-deterministic functions with call-time choice semantics, present in current functional logic languages, is not well described by usual approach...