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CSC
2010
15 years 1 months ago
Performance Modeling, Analysis, and Optimization of Cell-List Based Molecular Dynamics
- We have developed a performance prediction model for non-bonded interaction computations in molecular dynamics simulations, thereby predicting the optimal cell dimension in a lin...
Manaschai Kunaseth, Rajiv K. Kalia, Aiichiro Nakan...
TIT
2011
113views more  TIT 2011»
15 years 1 months ago
Asymptotic Capacity and Optimal Precoding in MIMO Multi-Hop Relay Networks
A multi-hop relaying system is analyzed where data sent by a multi-antenna source is relayed by successive multi-antenna relays until it reaches a multi-antenna destination. Assum...
Nadia Fawaz, Keyvan Zarifi, Mérouane Debbah...
DAC
2006
ACM
16 years 7 months ago
Predicate learning and selective theory deduction for a difference logic solver
Design and verification of systems at the Register-Transfer (RT) or behavioral level require the ability to reason at higher levels of abstraction. Difference logic consists of an...
Chao Wang, Aarti Gupta, Malay K. Ganai
CCGRID
2008
IEEE
16 years 1 months ago
Grid Differentiated Services: A Reinforcement Learning Approach
—Large scale production grids are a major case for autonomic computing. Following the classical definition of Kephart, an autonomic computing system should optimize its own beha...
Julien Perez, Cécile Germain-Renaud, Bal&aa...
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 10 months ago
Standard and averaging reinforcement learning in XCS
This paper investigates reinforcement learning (RL) in XCS. First, it formally shows that XCS implements a method of generalized RL based on linear approximators, in which the usu...
Pier Luca Lanzi, Daniele Loiacono