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» Dynamic power management using machine learning
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ASAP
2006
IEEE
114views Hardware» more  ASAP 2006»
15 years 3 months ago
The Mythical CCM: In Search of Usable (and Resuable) FPGA-Based General Computing Machines
Early FPGA researchers understood that FPGAs made possible the creation of a new, flexible, and powerful class of machine -- the configurable computing machine (CCM). The earliest...
Brent E. Nelson
FAST
2011
14 years 3 months ago
Cost Effective Storage using Extent Based Dynamic Tiering
Multi-tier systems that combine SSDs with SAS/FC and/or SATA disks mitigate the capital cost burden of SSDs, while benefiting from their superior I/O performance per unit cost an...
Jorge Guerra, Himabindu Pucha, Joseph S. Glider, W...
MICRO
2003
IEEE
125views Hardware» more  MICRO 2003»
15 years 5 months ago
Runtime Power Monitoring in High-End Processors: Methodology and Empirical Data
With power dissipation becoming an increasingly vexing problem across many classes of computer systems, measuring power dissipation of real, running systems has become crucial for...
Canturk Isci, Margaret Martonosi
ATAL
2009
Springer
15 years 6 months ago
MABLE: a framework for learning from natural instruction
The Modular Architecture for Bootstrapped Learning Experiments (MABLE) is a system that is being developed to allow humans to teach computers in the most natural manner possible: ...
Roger Mailler, Daniel Bryce, Jiaying Shen, Ciaran ...
TNN
2010
143views Management» more  TNN 2010»
14 years 6 months ago
Using unsupervised analysis to constrain generalization bounds for support vector classifiers
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, ...