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...
To microarray expression data analysis, it is well accepted that biological knowledge-guided clustering techniques show more advantages than pure mathematical techniques. In this ...
This paper describes the realization of a parallel version of the k/h-means clustering algorithm. This is one of the basic algorithms used in a wide range of data mining tasks. We ...
In this paper we examine how application performance scales on a state-of-the-art shared virtual memory (SVM) system on a cluster with 64 processors, comprising 4-way SMPs connect...
Dongming Jiang, Brian O'Kelley, Xiang Yu, Sanjeev ...
Abstract. Total Exchange is one of the most important collective communication patterns for scientific applications. In this paper we propose an algorithm called LG for the total e...