With the advent of high-performance COTS clusters, there is a need for a simple, scalable and faulttolerant parallel programming and execution paradigm. In this paper, we show that...
Reza Farivar, Abhishek Verma, Ellick Chan, Roy H. ...
Recently a large amount of research has been devoted to
automatic activity analysis. Typically, activities have been
defined by their motion characteristics and represented by
t...
Replication in grid file systems can significantly improves I/O performance of data-intensive applications. However, most of existing replication techniques apply to individual ...
This work examines under what conditions compression methodologies can retain the outcome of clustering operations. We focus on the popular k-Means clustering algorithm and we dem...
Deepak S. Turaga, Michail Vlachos, Olivier Versche...
During the last years, a wide range of huge networks has been made available to researchers. The discovery of natural groups, a task called graph clustering, in such datasets is a ...