Abstract. As parallelism in microprocessors becomes mainstream, new programming languages and environments are emerging to meet the challenges of parallel programming. To support r...
Todd Anderson, Neal Glew, Peng Guo, Brian T. Lewis...
This paper aims to address the problem of anomaly detection and discrimination in complex behaviours, where anomalies are subtle and difficult to detect owing to the complex tempo...
We present new architectural concepts for uniprocessor designs that conform to the data-driven computation paradigm. Usage of our D2 -CPU (Data-Driven processor) follows the natura...
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
This paper compares the performance of hierarchical ring- and mesh-connected wormhole routed shared memory multiprocessor networks in a simulation study. Hierarchical rings are in...