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AIIA
2007
Springer
14 years 1 months ago
Reinforcement Learning in Complex Environments Through Multiple Adaptive Partitions
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
Andrea Bonarini, Alessandro Lazaric, Marcello Rest...
HPDC
2009
IEEE
14 years 2 months ago
TakTuk, adaptive deployment of remote executions
This article deals with TakTuk, a middleware that deploys efficiently parallel remote executions on large scale grids (thousands of nodes). This tool is mostly intended for intera...
Benoit Claudel, Guillaume Huard, Olivier Richard
AAECC
2007
Springer
87views Algorithms» more  AAECC 2007»
13 years 7 months ago
Towards an accurate performance modeling of parallel sparse factorization
We present a simulation-based performance model to analyze a parallel sparse LU factorization algorithm on modern cached-based, high-end parallel architectures. We consider supern...
Laura Grigori, Xiaoye S. Li
JSSPP
2005
Springer
14 years 29 days ago
ScoPred-Scalable User-Directed Performance Prediction Using Complexity Modeling and Historical Data
Using historical information to predict future runs of parallel jobs has shown to be valuable in job scheduling. Trends toward more flexible jobscheduling techniques such as adapt...
Benjamin J. Lafreniere, Angela C. Sodan
CORR
2011
Springer
209views Education» more  CORR 2011»
13 years 2 months ago
Aneka Cloud Application Platform and Its Integration with Windows Azure
Aneka is an Application Platform-as-a-Service (Aneka PaaS) for Cloud Computing. It acts as a framework for building customized applications and deploying them on either public or ...
Yi Wei, Karthik Sukumar, Christian Vecchiola, Dile...