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» Distributed and Parallel Data Mining on the Grid
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168
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SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
13 years 6 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
PDCAT
2004
Springer
15 years 9 months ago
A Componentized Approach to Grid Enabling Seismic Wave Modeling Application
Seismic modeling is an integral part of the seismic data processing for oil and gas exploration, as it provides us the seismic response for a given earth model. Grid enabled seismi...
Dheeraj Bhardwaj, Jeremy Cohen, Steve McGough, Ste...
107
Voted
HPDC
2003
IEEE
15 years 9 months ago
Pipeline and Batch Sharing in Grid Workloads
We present a study of six batch-pipelined scientific workloads that are candidates for execution on computational grids. Whereas other studies focus on the behavior of single app...
Douglas Thain, John Bent, Andrea C. Arpaci-Dusseau...
146
Voted
PDP
2003
IEEE
15 years 9 months ago
On Using ZENTURIO for Performance and Parameter Studies on Cluster and Grid Architectures
Over the last decade, a dramatic increase has been observed in the need for generating and organising data in the course of large parameter studies, performance analysis, and soft...
Radu Prodan, Thomas Fahringer, Michael Geissler, G...
CCGRID
2004
IEEE
15 years 7 months ago
An interactive Grid for non-invasive vascular reconstruction
We conduct computer simulation experiments in pre-operative planning of vascular reconstruction with a physician in the experimental loop. We constructed a problem-solving environ...
Peter M. A. Sloot, Alfredo Tirado-Ramos, Alfons G....