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IPPS
2006
IEEE
15 years 10 months ago
Lossless compression for large scale cluster logs
The growing computational and storage needs of several scientific applications mandate the deployment of extreme-scale parallel machines, such as IBM’s Blue Gene/L which can acc...
R. Balakrishnan, Ramendra K. Sahoo
NAACL
2003
15 years 6 months ago
Automatically Discovering Word Senses
We will demonstrate the output of a distributional clustering algorithm called Clustering by Committee that automatically discovers
Patrick Pantel, Dekang Lin
OSDI
2008
ACM
16 years 5 months ago
Hunting for Problems with Artemis
Artemis is a modular application designed for analyzing and troubleshooting the performance of large clusters running datacenter services. Artemis is composed of four modules: (1)...
Gabriela F. Cretu-Ciocarlie, Mihai Budiu, Mois&eac...
PKDD
1999
Springer
130views Data Mining» more  PKDD 1999»
15 years 9 months ago
OPTICS-OF: Identifying Local Outliers
: For many KDD applications finding the outliers, i.e. the rare events, is more interesting and useful than finding the common cases, e.g. detecting criminal activities in E-commer...
Markus M. Breunig, Hans-Peter Kriegel, Raymond T. ...
EUROPAR
2009
Springer
15 years 9 months ago
Distributed Data Partitioning for Heterogeneous Processors Based on Partial Estimation of Their Functional Performance Models
The paper presents a new data partitioning algorithm for parallel computing on heterogeneous processors. Like traditional functional partitioning algorithms, the algorithm assumes ...
Alexey L. Lastovetsky, Ravi Reddy