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» Co-Scheduling of Computation and Data on Computer Clusters
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NIPS
2004
15 years 5 months ago
Detecting Significant Multidimensional Spatial Clusters
Assume a uniform, multidimensional grid of bivariate data, where each cell of the grid has a count ci and a baseline bi. Our goal is to find spatial regions (d-dimensional rectang...
Daniel B. Neill, Andrew W. Moore, Francisco Pereir...
DAWAK
2003
Springer
15 years 9 months ago
Handling Large Workloads by Profiling and Clustering
View materialization is recognized to be one of the most effective ways to increase the Data Warehouse performance; nevertheless, due to the computational complexity of the techniq...
Matteo Golfarelli
CVPR
2008
IEEE
16 years 6 months ago
Constrained spectral clustering through affinity propagation
Pairwise constraints specify whether or not two samples should be in one cluster. Although it has been successful to incorporate them into traditional clustering methods, such as ...
Miguel Á. Carreira-Perpiñán, ...
ICPPW
2008
IEEE
15 years 10 months ago
Disparity: Scalable Anomaly Detection for Clusters
In this paper, we describe disparity, a tool that does parallel, scalable anomaly detection for clusters. Disparity uses basic statistical methods and scalable reduction operation...
Narayan Desai, Rick Bradshaw, Ewing L. Lusk
EUROPAR
2001
Springer
15 years 8 months ago
From Cluster Monitoring to Grid Monitoring Based on GRM
GRM was originally designed and implemented as part of the P-GRADE graphical parallel program development environment running on supercomputers and clusters. In the framework of th...
Zoltán Balaton, Péter Kacsuk, Norber...