Abstract. Recent trend in high-performance computing focuses on networks of workstations (NOWs) as a way ofrealizing cost-effective parallel machines. This has been due to the avai...
Dynamic detection and elimination of symmetry in constraints, is in general a hard task, but in Not-Equals binary constraint networks, the symmetry conditions can be simplified. I...
In this paper we present a simple yet accurate model to forecast electricity load with Artificial Neural Networks (ANNs). We analyze the problem domain and choose the most adequat...
Network on Chip (NoC) is a new paradigm for designing large and complex systems on chips (SoCs). In this paradigm, a packet switched network is provided for on-chip communication. ...
The paper studies empirically the time-space trade-off between sampling and inference in the cutset sampling algorithm. The algorithm samples over a subset of nodes in a Bayesian ...