In this paper we present a multi-grained parallel algorithm for computing betweenness centrality, which is extensively used in large-scale network analysis. Our method is based on ...
We present a framework for clustering distributed data in unsupervised and semi-supervised scenarios, taking into account privacy requirements and communication costs. Rather than...
There is growing interest in run-time detection as parallel and distributed systems grow larger and more complex. This work targets run-time analysis of complex, interactive scien...
Abstract. The unprecedented growth and increased importance of geographically distributed spatial data has created a strong need for efficient sharing of such data. Interestingly, ...
This paper presents a high-performance Distributed Shared Memory system called VODCA, which supports a novel View-Oriented Parallel Programming on cluster computers. One advantage...
Zhiyi Huang, Wenguang Chen, Martin K. Purvis, Weim...