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» Dynamic power management using machine learning
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CF
2010
ACM
15 years 3 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 5 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 1 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 1 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 4 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