—This paper compares parallel and distributed implementations of an iterative, Gibbs sampling, machine learning algorithm. Distributed implementations run under Hadoop on facilit...
Sebastien Bratieres, Jurgen Van Gael, Andreas Vlac...
The OpenMP standard was conceived to parallelize dense array-based applications, and it has achieved much success with that. Recently, a novel tasking proposal to handle unstructur...
This paper presents Maya, a multi-paradigm, scalable and extensible network modeling framework for emulating distributed applications. A novel three-tier architecture is proposed ...
Junlan Zhou, Zhengrong Ji, Mineo Takai, Rajive Bag...
Large-scale distributed hypermedia systems comprise a generation of powerful tools to meet the demands of the new information globalization era. The most promising of such systems...
Costas Petrou, Drakoulis Martakos, Michael Hatzopo...
Advances in Internet and the availability of powerful computers and high-speed networks have propitiated the rise of Grids. The scheduling of applications is complex in Grids due ...