Distributed Computing, the exploitation of idle cycles on pervasive desktop PC systems offers the opportunity to increase the available computing power by orders of magnitude (10x...
The support vector machine (SVM) is a wellestablished and accurate supervised learning method for the classification of data in various application fields. The statistical learnin...
Abstract-- Scheduling problems are already difficult on traditional parallel machines, and they become extremely challenging on heterogeneous clusters. In this paper we deal with t...
Anne Benoit, Loris Marchal, Jean-Francois Pineau, ...
Thispaper describes a set of modeling techniquesfor developing vertical applications in specific domains. Previous approaches are mainly focused on obtaining final applications. W...
ions Sriram Krishnamoorthy½ Umit Catalyurek¾ Jarek Nieplocha¿ Atanas Rountev½ P. Sadayappan½ ½ Dept. of Computer Science and Engineering, ¾ Dept. of Biomedical Informatics T...