In this paper, we present an efficient technique for optimising data replication under the data parallel programming model. We propose a precise mathematical representation for da...
Modern VLSI technology has changed the economic rules by which the balance between processing power, memory and communications is decided in computing systems. This will have a pr...
Markov random field models provide a robust formulation of low-level vision problems. Among the problems, stereo vision remains the most investigated field. The belief propagation...
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
In this paper, we suggest a parallel algorithm based on a shared memory SIMD architecture for solving an n item subset-sum problem in time O(2n/2 /p) by using p = 2q processors, 0...
Carlos Alberto Alonso Sanches, Nei Yoshihiro Soma,...