Current systems for managing workload on clusters of workstations, particularly those available for Linux-based (Beowulf) clusters, are typically based on traditional process-base...
Daniel Andresen, Nathan Schopf, Ethan Bowker, Timo...
- Due to the increasing complexity of scientific models, large-scale simulation tools often require a critical amount of computational power to produce results in a reasonable amou...
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
Visual paradigms such as node-link diagrams are well suited to the representation of Semantic Web data encoded with the Resource Description Framework (RDF), whose data model can ...
Internet data centers (IDCs) perform multi-customer hosting on a virtualized collection of resources while Grid computing generalizes distributed computing by focusing on large sc...