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» Supporting SELL for High-Performance Computing
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2000
ACM
13 years 12 months ago
Computing and Data Grids for Science and Engineering
We use the term “Grid” to refer to a software system that provides uniform and location independent access to geographically and organizationally dispersed, heterogeneous reso...
William E. Johnston, Dennis Gannon, Bill Nitzberg,...
FCCM
2006
IEEE
108views VLSI» more  FCCM 2006»
14 years 1 months ago
A Reconfigurable Distributed Computing Fabric Exploiting Multilevel Parallelism
This paper presents a novel reconfigurable data flow processing architecture that promises high performance by explicitly targeting both fine- and course-grained parallelism. This...
Charles L. Cathey, Jason D. Bakos, Duncan A. Buell
ICPR
2010
IEEE
13 years 7 months ago
Adaptive Incremental Learning with an Ensemble of Support Vector Machines
The incremental updating of classifiers implies that their internal parameter values can vary according to incoming data. As a result, in order to achieve high performance, incre...
Marcelo N. Kapp, Robert Sabourin, Patrick Maupin
ICCS
2007
Springer
14 years 1 months ago
Active Learning with Support Vector Machines for Tornado Prediction
In this paper, active learning with support vector machines (SVMs) is applied to the problem of tornado prediction. This method is used to predict which storm-scale circulations yi...
Theodore B. Trafalis, Indra Adrianto, Michael B. R...
WSC
2004
13 years 9 months ago
Simulation in Context: Using Data Farming for Decision Support
Data Farming leverages high performance computing to run simple models many times. This process allows for the exploration of massive parameter spaces relatively quickly. This pap...
Philip S. Barry, Matthew T. K. Koehler