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Design, Automation and Test in Europe (DATE '00)
Quantitative Comparison of Power Management Algorithms
Paris, France
March 27-March 30
ISBN: 0-7695-0537-6
Yung-Hsiang Lu, Stanford University
Eui-Young Chung, Stanford University
Tajana Simunic, Stanford University
Giovanni de Micheli, Stanford University
Luca Benini, Universita di Bologna
Dynamic power management saves power by shutting down idle devices. Several management algorithms have been proposed and demonstrated effective in certain applications. We quantitatively compare the power saving and performance impact of these algorithms on hard disks of a desktop and a notebook computers. This paper has three contributions. First, we build a framework in Windows NT to implement power managers running realistic workloads and directly interacting with users. Second, we define performance degradation that reflects user perception. Finally, we compare power saving and performance of existing algorithms and analyze the difference.
Index Terms:
power management, low power, performance
Citation:
Yung-Hsiang Lu, Eui-Young Chung, Tajana Simunic, Giovanni de Micheli, Luca Benini, "Quantitative Comparison of Power Management Algorithms," date, pp.20, Design, Automation and Test in Europe (DATE '00), 2000
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