With the growing demand on cluster analysis for categorical data, a handful of categorical clustering algorithms have been developed. Surprisingly, to our knowledge, none has sati...
Recent work on distributed RAM sharing has largely focused on leveraging low-latency networking technologies to optimize remote memory access. In contrast, we revisit the idea of ...
Vassil Roussev, Golden G. Richard III, Daniel Ting...
Massive data transfer encountered in emerging multimedia embedded applications requires architecture allowing both highly distributed memory structure and multiprocessor computati...
Sang-Il Han, Amer Baghdadi, Marius Bonaciu, Soo-Ik...
Data Grid is one of the important research subjects in the field of Grid Computing. To get a high efficiency of the system, this paper proposes a set of novel multicast algorithms...
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 ...