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» Application-level simulation modelling of large grids
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CCGRID
2009
IEEE
15 years 4 months ago
BLAST Application with Data-Aware Desktop Grid Middleware
—There exists numerous Grid middleware to develop and execute programs on the computational Grid, but they still require intensive work from their users. BitDew is made to facili...
Haiwu He, Gilles Fedak, Bing Tang, Franck Cappello
BMCBI
2008
186views more  BMCBI 2008»
14 years 9 months ago
Variable selection for large p small n regression models with incomplete data: Mapping QTL with epistases
Background: Identifying quantitative trait loci (QTL) for both additive and epistatic effects raises the statistical issue of selecting variables from a large number of candidates...
Min Zhang, Dabao Zhang, Martin T. Wells
IMSCCS
2007
IEEE
15 years 3 months ago
Ensemble Subsurface Modeling Using Grid Computing Technology
Ensemble Kalman Filter (EnKF) uses a randomized ensemble of subsurface models for error and uncertainty estimation. However, the complexity of geological models and the requiremen...
Xin Li, Zhou Lei, Christopher D. White, Gabrielle ...
WSC
2007
14 years 11 months ago
Simulating pandemic influenza risks of US cities
We describe the spatial Agent-Based Computational Laboratory that we have developed to study the pandemic influenza risks of US cities. This research presented a series of interes...
Catherine Dibble, Stephen Wendel, Kristofor Carle
GRID
2004
Springer
15 years 2 months ago
DIRAC: A Scalable Lightweight Architecture for High Throughput Computing
— DIRAC (Distributed Infrastructure with Remote Agent Control) has been developed by the CERN LHCb physics experiment to facilitate large scale simulation and user analysis tasks...
Andrei Tsaregorodtsev, Vincent Garonne, Ian Stokes...