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EUROPAR
1999
Springer
15 years 11 months ago
Parallel k/h-Means Clustering for Large Data Sets
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 ...
Kilian Stoffel, Abdelkader Belkoniene
RECOMB
2007
Springer
16 years 7 months ago
Network Motif Discovery Using Subgraph Enumeration and Symmetry-Breaking
The study of biological networks and network motifs can yield significant new insights into systems biology. Previous methods of discovering network motifs ? network-centric subgra...
Joshua A. Grochow, Manolis Kellis
AH
2008
Springer
16 years 1 months ago
Collection Browsing through Automatic Hierarchical Tagging
In order to navigate huge document collections efficiently, tagged hierarchical structures can be used. For users, it is important to correctly interpret tag combinations. In this ...
Korinna Bade, Marcel Hermkes
ECBS
2006
IEEE
126views Hardware» more  ECBS 2006»
16 years 1 months ago
Experiments and Investigations for the Personal High Performance Computing (PHPC) built on top of the 64-bit processing and clus
The motivation and objective for this paper is to demonstrate “Personal High Performance Computing (PHPC)”, which requires only a smaller number of computers, resources and sp...
Victor Chang
CCGRID
2002
IEEE
16 years 9 hour ago
Sensitivity of Cluster File System Access to I/O Server Selection
This paper describes measurement tests of Parallel Virtual File System (PVFS) and Network File System (NFS) over a commodity Linux cluster connected with Myrinet. PVFS stores a ...
Amy W. Apon, P. D. Wolinski, G. M. Amerson