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» Dynamic power management using machine learning
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CF
2010
ACM
15 years 9 months ago
A communication infrastructure for a million processor machine
: The SpiNNaker machine is a massively parallel computing system, consisting of 1,000,000 cores. From one perspective, it has a place in Flynns' taxonomy: it is a straightforw...
Andrew D. Brown, Steve Furber, Jeff S. Reeve, Pete...
ICPP
2005
IEEE
15 years 12 months ago
Service Migration in Distributed Virtual Machines for Adaptive Grid Computing
Computational grids can integrate geographically distributed resources into a seamless environment. To facilitate managing these heterogenous resources, the virtual machine gy pro...
Song Fu, Cheng-Zhong Xu
USENIX
2003
15 years 7 months ago
Design and Implementation of Power-Aware Virtual Memory
Despite constant improvements in fabrication technology, hardware components are consuming more power than ever. With the everincreasing demand for higher performance in highly-in...
Hai Huang, Padmanabhan Pillai, Kang G. Shin
AAAI
1994
15 years 7 months ago
Dead-End Driven Learning
The paper evaluates the eectiveness of learning for speeding up the solution of constraint satisfaction problems. It extends previous work (Dechter 1990) by introducing a new and ...
Daniel Frost, Rina Dechter
ICML
1996
IEEE
15 years 10 months ago
A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
Rémi Munos