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Dynamic voltage scheduling using adaptive filtering of workload traces

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2 Author(s)
A. Sinha ; Dept. of Electr. Eng. & Comput. Sci., MIT, Cambridge, MA, USA ; A. P. Chandrakasan

An adaptive approach for dynamic voltage scheduling on processors is presented based on workload prediction by filtering a trace history. The effects of update frequency and filtering strategy on the energy savings is analyzed. A performance hit metric is defined and techniques to minimize energy under a given performance requirement are outlined. Our results demonstrate that up to two orders of magnitude energy savings is possible with dynamic voltage scheduling depending on workload statistics

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VLSI Design, 2001. Fourteenth International Conference on

Date of Conference: