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IEEESCC
2008
IEEE
14 years 4 months ago
A Risk Reduction Framework for Dynamic Workflows
Workflows tend to fail in real-world scenarios due to the uncertain/unreliable sensory information which sometimes needs to be updated during the execution of workflows. In a lo...
Prabhdeep Singh, Fatih Gelgi, Hasan Davulcu, Steph...
ICCAD
2006
IEEE
152views Hardware» more  ICCAD 2006»
14 years 6 months ago
Performance-oriented statistical parameter reduction of parameterized systems via reduced rank regression
Process variations in modern VLSI technologies are growing in both magnitude and dimensionality. To assess performance variability, complex simulation and performance models param...
Zhuo Feng, Peng Li
SIAMSC
2008
131views more  SIAMSC 2008»
13 years 9 months ago
Gramian-Based Model Reduction for Data-Sparse Systems
Model order reduction (MOR) is common in simulation, control and optimization of complex dynamical systems arising in modeling of physical processes and in the spatial discretizati...
Ulrike Baur, Peter Benner
DAC
2002
ACM
14 years 10 months ago
Guaranteed passive balancing transformations for model order reduction
The major concerns in state-of-the-art model reduction algorithms are: achieving accurate models of sufficiently small size, numerically stable and efficient generation of the mod...
Joel R. Phillips, Luca Daniel, Luis Miguel Silveir...
LICS
2010
IEEE
13 years 8 months ago
Abstracting the Differential Semantics of Rule-Based Models: Exact and Automated Model Reduction
ing the differential semantics of rule-based models: exact and automated model reduction (Invited Lecture) Vincent Danos∗§, J´erˆome Feret†, Walter Fontana‡, Russell Harme...
Vincent Danos, Jérôme Feret, Walter F...