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IMSCCS
2007
IEEE
15 years 8 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 ...
AUTOMATICA
2005
137views more  AUTOMATICA 2005»
15 years 1 months ago
Multivariable frequency-response curve fitting with application to modal parameter estimation
This paper presents a computational approach for the frequency-domain identification of multivariable, discrete-time transfer function models based on a cost function minimization...
P. Verboven, P. Guillaume, B. Cauberghe
CF
2010
ACM
15 years 6 months ago
Enabling a highly-scalable global address space model for petascale computing
Over the past decade, the trajectory to the petascale has been built on increased complexity and scale of the underlying parallel architectures. Meanwhile, software developers hav...
Vinod Tipparaju, Edoardo Aprà, Weikuan Yu, ...
CONCURRENCY
2002
230views more  CONCURRENCY 2002»
15 years 1 months ago
Economic models for resource management and scheduling in Grid computing
: The accelerated development in Peer-to-Peer (P2P) and Grid computing has positioned them as promising next generation computing platforms. They enable the creation of Virtual Ent...
Rajkumar Buyya, David Abramson, Jonathan Giddy, He...
EUROPAR
2005
Springer
15 years 7 months ago
An Approach to Performance Prediction for Parallel Applications
Abstract. Accurately modeling and predicting performance for largescale applications becomes increasingly difficult as system complexity scales dramatically. Analytic predictive mo...
Engin Ipek, Bronis R. de Supinski, Martin Schulz, ...