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» Distributed and Parallel Data Mining on the Grid
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JSSPP
2005
Springer
14 years 2 months ago
AnthillSched: A Scheduling Strategy for Irregular and Iterative I/O-Intensive Parallel Jobs
Irregular and iterative I/O-intensive jobs need a different approach from parallel job schedulers. The focus in this case is not only the processing requirements anymore: memory, ...
Luís Fabrício Wanderley Góes,...
IPPS
2007
IEEE
14 years 2 months ago
Biomolecular Path Sampling Enabled by Processing in Network Storage
Computationally complex and data intensive atomic scale biomolecular simulation is enabled via Processing in Network Storage (PINS): a novel distributed system framework to overco...
Paul Brenner, Justin M. Wozniak, Douglas Thain, Aa...
GPC
2007
Springer
14 years 2 months ago
Design of PeerSum: A Summary Service for P2P Applications
Sharing huge databases in distributed systems is inherently difficult. As the amount of stored data increases, data localization techniques become no longer sufficient. A more ef...
Rabab Hayek, Guillaume Raschia, Patrick Valduriez,...
SISAP
2010
IEEE
152views Data Mining» more  SISAP 2010»
13 years 7 months ago
www.MMRetrieval.net: a multimodal search engine
We introduce an experimental search engine for multilingual and multimedia information, employing a holistic web interface and enabling the use of highly distributed indices. Moda...
Konstantinos Zagoris, Avi Arampatzis, Savvas A. Ch...
CCGRID
2005
IEEE
14 years 2 months ago
The QuarkNet/grid collaborative learning e-Lab
We describe a case study that uses grid computing techniques to support the collaborative learning of high school students investigating cosmic rays. Students gather and upload sc...
Marjorie Bardeen, Eric Gilbert, Thomas Jordan, Pau...