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SIGMOD
2001
ACM
200views Database» more  SIGMOD 2001»
14 years 7 months ago
Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
Markus M. Breunig, Hans-Peter Kriegel, Peer Kr&oum...
IPPS
2007
IEEE
14 years 2 months ago
High Performance Java Sockets for Parallel Computing on Clusters
The use of Java for parallel programming on clusters relies on the need of efficient communication middleware and high-speed cluster interconnect support. Nevertheless, currently...
Guillermo L. Taboada, Juan Touriño, Ramon D...
CLUSTER
2005
IEEE
14 years 1 months ago
A Feasibility Analysis of Power Awareness in Commodity-Based High-Performance Clusters
We present a feasibility study of a power-reduction scheme that reduces the thermal power of processors by lowering frequency and voltage in the context of high-performance comput...
Chung-Hsing Hsu, Wu-chun Feng
CLUSTER
2000
IEEE
14 years 4 days ago
Design and Performance of Maestro Cluster Network
Most clusters so far have used WAN or LAN-based network products for communication due to their market availability. However, they do not always match communication patterns in cl...
Shinichi Yamagiwa, Munehiro Fukuda, Koichi Wada
PAMI
2002
106views more  PAMI 2002»
13 years 7 months ago
Performance Evaluation of Some Clustering Algorithms and Validity Indices
In this article, we evaluate the performance of three clustering algorithms, hard K-Means, single linkage, and a simulated annealing (SA) based technique, in conjunction with four ...
Ujjwal Maulik, Sanghamitra Bandyopadhyay