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» Approximation Algorithms for Scheduling Parallel Jobs
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ATAL
2005
Springer
14 years 29 days ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
JSSPP
2005
Springer
14 years 27 days ago
Scheduling Moldable BSP Tasks
Our main goal in this paper is to study the scheduling of parallel BSP tasks on clusters of computers. We focus our attention on special characteristics of BSP tasks, which can use...
Pierre-François Dutot, Marco Aurélio...
STACS
2005
Springer
14 years 27 days ago
Worst-Case and Average-Case Approximations by Simple Randomized Search Heuristics
Abstract. In recent years, probabilistic analyses of algorithms have received increasing attention. Despite results on the average-case complexity and smoothed complexity of exact ...
Carsten Witt
CLUSTER
2002
IEEE
14 years 11 days ago
Scalable Resource Management in High Performance Computers
Clusters of workstations have emerged as an important platform for building cost-effective, scalable, and highlyavailable computers. Although many hardware solutions are available...
Eitan Frachtenberg, Fabrizio Petrini, Juan Fern&aa...
CCGRID
2010
IEEE
13 years 8 months ago
The Effects of Untruthful Bids on User Utilities and Stability in Computing Markets
Markets of computing resources typically consist of a cluster (or a multi-cluster) and jobs that arrive over time and request computing resources in exchange for payment. In this p...
Sergei Shudler, Lior Amar, Amnon Barak, Ahuva Mu'a...