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» Quantitative Comparison of Power Management Algorithms
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DATE
2000
IEEE
112views Hardware» more  DATE 2000»
13 years 9 months ago
Quantitative Comparison of Power Management Algorithms
Dynamic power management saves power by shutting down idle devices. Several management algorithms have been proposed and demonstrated effective in certain applications. We quantit...
Yung-Hsiang Lu, Eui-Young Chung, Tajana Simunic, G...
ASPLOS
2008
ACM
13 years 6 months ago
No "power" struggles: coordinated multi-level power management for the data center
Power delivery, electricity consumption, and heat management are becoming key challenges in data center environments. Several past solutions have individually evaluated different ...
Ramya Raghavendra, Parthasarathy Ranganathan, Vani...
CODES
1999
IEEE
13 years 9 months ago
Software controlled power management
Reducing power consumption is critical in many system designs. Dynamic power management is an effective approach to decrease power without significantly degrading performance. Pow...
Yung-Hsiang Lu, Tajana Simunic, Giovanni De Michel...
BMCBI
2008
122views more  BMCBI 2008»
13 years 4 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang
CEC
2005
IEEE
13 years 10 months ago
Dynamic power minimization during combinational circuit testing as a traveling salesman problem
Testing of VLSI circuits can cause generation of excessive heat which can damage the chips under test. In the random testing environment, high-performance CMOS circuits consume sig...
Artem Sokolov, Alodeep Sanyal, L. Darrell Whitley,...