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» Computing with Probabilistic Cellular Automata
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CORR
2009
Springer
242views Education» more  CORR 2009»
13 years 3 months ago
Adaptive Scheduling of Data Paths using Uppaal Tiga
Abstract. We apply Uppaal Tiga to automatically compute adaptive scheduling strategies for an industrial case study dealing with a state-of-the-art image processing pipeline of a p...
Israa AlAttili, Fred Houben, Georgeta Igna, Steffe...
DAGSTUHL
2010
13 years 7 months ago
Visual Simulation of Flow
We have adopted a numerical method from computational fluid dynamics, the Lattice Boltzmann Method (LBM), for real-time simulation and visualization of flow and amorphous phenomen...
Arie E. Kaufman, Ye Zhao
SIGPRO
2008
136views more  SIGPRO 2008»
13 years 6 months ago
Estimation of slowly varying parameters in nonlinear systems via symbolic dynamic filtering
This paper introduces a novel method for real-time estimation of slowly varying parameters in nonlinear dynamical systems. The core concept is built upon the principles of symboli...
Venkatesh Rajagopalan, Subhadeep Chakraborty, Asok...
PE
2011
Springer
214views Optimization» more  PE 2011»
13 years 1 months ago
Time-bounded reachability in tree-structured QBDs by abstraction
Structured QBDs by Abstraction Daniel Klink, Anne Remke, Boudewijn R. Haverkort, Fellow, IEEE, and Joost-Pieter Katoen, Member, IEEE Computer Society —This paper studies quantita...
Daniel Klink, Anne Remke, Boudewijn R. Haverkort, ...
IPPS
2003
IEEE
13 years 11 months ago
GCA: A Massively Parallel Model
We had introduced the massively parallel global cellular automata (GCA) model. Parallel algorithms derived from applications can be mapped straight forward onto this model. In thi...
Rolf Hoffmann, Klaus-Peter Völkmann, Wolfgang...