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» MapReduce: Simplified Data Processing on Large Clusters
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ICDM
2003
IEEE
92views Data Mining» more  ICDM 2003»
14 years 2 months ago
Validating and Refining Clusters via Visual Rendering
Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
Keke Chen, Ling Liu
EDBT
2008
ACM
188views Database» more  EDBT 2008»
14 years 9 months ago
FAME-DBMS: Tailor-made Data Management Solutions for Embedded Systems
Data management functionality is not only needed in large-scale server systems, but also in embedded systems. Resource restrictions and heterogeneity of hardware, however, complic...
Marko Rosenmüller, Norbert Siegmund, Horst Sc...
CLUSTER
2011
IEEE
12 years 8 months ago
Performance Characterization and Optimization of Atomic Operations on AMD GPUs
—Atomic operations are important building blocks in supporting general-purpose computing on graphics processing units (GPUs). For instance, they can be used to coordinate executi...
Marwa Elteir, Heshan Lin, Wu-chun Feng
ICIP
2001
IEEE
14 years 10 months ago
Minimum discrimination information clustering: modeling and quantization with Gauss mixtures
Gauss mixtures have gained popularity in statistics and statistical signal processing applications for a variety of reasons, including their ability to well approximatea large cla...
Robert M. Gray, John C. Young, Anuradha K. Aiyer
PDP
2002
IEEE
14 years 1 months ago
Scalable Monitoring and Configuration Tools for Grids and Clusters
We present the Ka-admin project that addresses the problem of collecting, visualizing and feeding back any grid information, trace or snapshot, compliant to an XML-like model. Rea...
Philippe Augerat, Cyrill Martin, Benhur Stein