Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
In this paper, we analyze restrictions of traditional communication performance models affecting the accuracy of analytical prediction of the execution time of collective communic...
Alexey L. Lastovetsky, Vladimir Rychkov, Maureen O...
We study an important data analysis operator, which extracts the k most important groups from data (i.e., the k groups with the highest aggregate values). In a data warehousing co...
A space efficient wait-free algorithm for implementing a shared buffer for real-time multiprocessor systems is presented in this paper. The commonly used method to implement share...
This paper presents an algorithm to perform the broadcasting of a packet to all the peers that are located into a convex region (Area of Interest) in a Voronoi based peer-topeer ne...