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HPDC
2010
IEEE
15 years 7 months ago
A hybrid Markov chain model for workload on parallel computers
This paper proposes a comprehensive modeling architecture for workloads on parallel computers using Markov chains in combination with state dependent empirical distribution functi...
Anne Krampe, Joachim Lepping, Wiebke Sieben
ML
2012
ACM
385views Machine Learning» more  ML 2012»
14 years 2 months ago
An alternative view of variational Bayes and asymptotic approximations of free energy
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Kazuho Watanabe
EMSOFT
2006
Springer
15 years 10 months ago
Modeling a system controller for timing analysis
Upper bounds on worst-case execution times, which are commonly called WCET, are a prerequisite for validating the temporal correctness of tasks in a real-time system. Due to the e...
Stephan Thesing
ASAP
2009
IEEE
141views Hardware» more  ASAP 2009»
16 years 3 months ago
Accelerating a Virtual Ecology Model with FPGAs
—This paper describes the acceleration of virtual ecology models using field-programmable gate arrays (FPGAs). Our approach targets models generated by the Virtual Ecology Workb...
Julien Lamoureux, Tony Field, Wayne Luk
ICRA
2008
IEEE
106views Robotics» more  ICRA 2008»
16 years 29 days ago
A vision-based computed torque control for parallel kinematic machines
— In this paper, a novel approach for parallel kinematic machine control relying on a fast exteroceptive measure is implemented and validated on the Orthoglide robot. This approa...
Flavien Paccot, Philippe Lemoine, Nicolas Andreff,...