Collaborative filtering-based recommender systems, which automatically predict preferred products of a user using known preferences of other users, have become extremely popular ...
This paper presents performance results for the design and implementation of parallel pipelined Space-Time Adaptive Processing (STAP) algorithms on parallel computers. In particul...
Alok N. Choudhary, Wei-keng Liao, Donald Weiner, P...
Tuning applications for multi-core systems involve subtle concepts and target-dependent optimizations. New languages are being designed to express concurrency and locality without...
Cupertino Miranda, Philippe Dumont, Albert Cohen, ...
In this paper, we propose a probabilistic framework targeting three important issues in the computation of quality and trust in decentralized systems. Specifically, our approach a...
Most of the existing reachability indices perform well on small- to medium- size graphs, but reach a scalability bottleneck around one million vertices/edges. As graphs become inc...