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118
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IPPS
2008
IEEE
15 years 9 months ago
Online scheduling in grids
This paper addresses nonclairvoyant and nonpreemptive online job scheduling in Grids. In the applied basic model, the Grid system consists of a large number of identical processor...
Uwe Schwiegelshohn, Andrei Tchernykh, Ramin Yahyap...
97
Voted
EUROPAR
2007
Springer
15 years 8 months ago
A Search Engine Accepting On-Line Updates
We describe and evaluate the performance of a parallel search engine that is able to cope efficiently with concurrent read/write operations. Read operations come in the usual form ...
Mauricio Marín, Carolina Bonacic, Veronica ...
105
Voted
AAMAS
2007
Springer
15 years 2 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
115
Voted
IPPS
2006
IEEE
15 years 8 months ago
Online strategies for high-performance power-aware thread execution on emerging multiprocessors
Granularity control is an effective means for trading power consumption with performance on dense shared memory multiprocessors, such as multi-SMT and multi-CMP systems. In this p...
Matthew Curtis-Maury, James Dzierwa, Christos D. A...
ICML
2006
IEEE
16 years 3 months ago
An analytic solution to discrete Bayesian reinforcement learning
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
Pascal Poupart, Nikos A. Vlassis, Jesse Hoey, Kevi...