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SIGMOD
2003
ACM
163views Database» more  SIGMOD 2003»
16 years 2 months ago
Multi-Dimensional Clustering: A New Data Layout Scheme in DB2
We describe the design and implementation of a new data layout scheme, called multi-dimensional clustering, in DB2 Universal Database Version 8. Many applications, e.g., OLAP and ...
Sriram Padmanabhan, Bishwaranjan Bhattacharjee, Ti...
BIRTHDAY
2010
Springer
15 years 5 months ago
Clustering the Normalized Compression Distance for Influenza Virus Data
The present paper analyzes the usefulness of the normalized compression distance for the problem to cluster the hemagglutinin (HA) sequences of influenza virus data for the HA gene...
Kimihito Ito, Thomas Zeugmann, Yu Zhu
EUROSYS
2007
ACM
15 years 11 months ago
Thread clustering: sharing-aware scheduling on SMP-CMP-SMT multiprocessors
The major chip manufacturers have all introduced chip multiprocessing (CMP) and simultaneous multithreading (SMT) technology into their processing units. As a result, even low-end...
David K. Tam, Reza Azimi, Michael Stumm
ASPLOS
2011
ACM
14 years 5 months ago
Blink: managing server clusters on intermittent power
Reducing the energy footprint of data centers continues to receive significant attention due to both its financial and environmental impact. There are numerous methods that limi...
Navin Sharma, Sean Barker, David Irwin, Prashant J...
GCB
2003
Springer
105views Biometrics» more  GCB 2003»
15 years 7 months ago
In silico prediction of UTR repeats using clustered EST data
Clustering of EST data is a method for the non-redundant representation of an organisms transcriptome. During clustering of large amounts of EST data, usually some large clusters ...
Stefan A. Rensing, Daniel Lang, Ralf Reski