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125
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CCGRID
2003
IEEE
15 years 9 months ago
Distributed Computing with Hierarchical Master-worker Paradigm for Parallel Branch and Bound Algorithm
This paper discusses the impact of the hierarchical master-worker paradigm on performance of an application program, which solves an optimization problem by a parallel branch and ...
Kento Aida, Wataru Natsume, Yoshiaki Futakata
101
Voted
PDPTA
2007
15 years 5 months ago
An Implementation of Parallel File Distribution in an Agent Hierarchy
AgentTeamwork coordinates parallel job execution in a hierarchy of mobile agents. A collection of specialized agents are deployed to remote sites including multiple clusters so as...
Jumpei Miyauchi, Munehiro Fukuda, Joshua Phillips
113
Voted
AAMAS
2007
Springer
15 years 3 months ago
Parallel Reinforcement Learning with Linear Function Approximation
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
Matthew Grounds, Daniel Kudenko
141
Voted
PC
2008
158views Management» more  PC 2008»
15 years 3 months ago
Application of multistage stochastic programs solved in parallel in portfolio management
We present a multistage model for allocation of financial resources to bond indices in different currencies. The model was tested on historical data of interest and exchange rates...
Mária Lucká, Igor Melichercik, Ladis...
EUROPAR
2004
Springer
15 years 9 months ago
Task-Queue Based Hybrid Parallelism: A Case Study
Abstract. In this paper we report on our experiences with hybrid parallelism in PARDISO, a high-performance sparse linear solver. We start with the OpenMP-parallel numerical factor...
Karl Fürlinger, Olaf Schenk, Michael Hagemann