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ML
2002
ACM
246views Machine Learning» more  ML 2002»
13 years 7 months ago
Bayesian Clustering by Dynamics
This paper introduces a Bayesian method for clustering dynamic processes. The method models dynamics as Markov chains and then applies an agglomerative clustering procedure to disc...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen
CLUSTER
2007
IEEE
14 years 2 months ago
Dynamic scheduling of multi-processor tasks on clusters of clusters
— In this article we tackle the problem of scheduling a dynamically generated DAG of multi-processor tasks (M-tasks). At first, we outline the need of such a scheduling approach...
Sascha Hunold, Thomas Rauber, Gudula Rünger
AUTOMATICA
2008
125views more  AUTOMATICA 2008»
13 years 7 months ago
Disturbance attenuation by dynamic output feedback for input-delay systems
This paper addresses the disturbance attenuation problem by output feedback for multivariable linear systems with delayed inputs. To solve this problem, a feedback compensator is u...
Michael Di Loreto, Jean Jacques Loiseau, Jean-Fran...
CCGRID
2008
IEEE
13 years 9 months ago
Scheduling Dynamic Workflows onto Clusters of Clusters using Postponing
In this article, we revisit the problem of scheduling dynamically generated directed acyclic graphs (DAGs) of multi-processor tasks (M-tasks). A DAG is a basic model for expressin...
Sascha Hunold, Thomas Rauber, Frédér...
CLUSTER
2002
IEEE
13 years 7 months ago
Adaptive System Sensitive Partitioning of AMR Applications on Heterogeneous Clusters
This paper presents the design and evaluation of an adaptive system sensitive partitioning and load balancing framework for distributed adaptive mesh re nement applications on het...
Shweta Sinha, Manish Parashar