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» A Large Scale Clustering Scheme for Kernel K-Means
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EDBT
2008
ACM
132views Database» more  EDBT 2008»
14 years 7 months ago
Indexing high-dimensional data in dual distance spaces: a symmetrical encoding approach
Due to the well-known dimensionality curse problem, search in a high-dimensional space is considered as a "hard" problem. In this paper, a novel symmetrical encoding-bas...
Yi Zhuang, Yueting Zhuang, Qing Li, Lei Chen 0002,...
EUROPAR
2003
Springer
14 years 18 days ago
Nswap: A Network Swapping Module for Linux Clusters
Cluster applications that process large amounts of data, such as parallel scientific or multimedia applications, are likely to cause swapping on individual cluster nodes. These ap...
Tia Newhall, Sean Finney, Kuzman Ganchev, Michael ...
AUSAI
2003
Springer
14 years 19 days ago
Efficiently Mining Frequent Patterns from Dense Datasets Using a Cluster of Computers
Efficient mining of frequent patterns from large databases has been an active area of research since it is the most expensive step in association rules mining. In this paper, we pr...
Yudho Giri Sucahyo, Raj P. Gopalan, Amit Rudra
CLUSTER
2000
IEEE
13 years 11 months ago
Contention-free Complete Exchange Algorithm on Clusters
To construct a large commodity clustec a hierarchical network is generally adopted for connecting the host muchines, where a Gigabit backbone switch connects a few commodity switc...
Anthony T. C. Tam, Cho-Li Wang
HIPC
2009
Springer
13 years 5 months ago
Fast checkpointing by Write Aggregation with Dynamic Buffer and Interleaving on multicore architecture
Large scale compute clusters continue to grow to ever-increasing proportions. However, as clusters and applications continue to grow, the Mean Time Between Failures (MTBF) has redu...
Xiangyong Ouyang, Karthik Gopalakrishnan, Tejus Ga...