We present SNAP (Small-world Network Analysis and Partitioning), an open-source graph framework for exploratory study and partitioning of large-scale networks. To illustrate the c...
Clusters of PC containing mostly general purpose hardware have become more and more usable for high performance computing tasks in the past few years. Clustering existing systems ...
“MegaProto” is a proof-of-concept prototype for our project “Mega-Scale Computing Based on Low-Power Technology and Workload Modeling”, implementing our key idea that a mi...
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 ...
- With the progress of research on cluster computing, more and more universities have begun to offer various courses covering cluster computing. A wide variety of content can be ta...