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Dynamic Voltage Scheduling Using Adaptive Filtering of Workload Traces
Bangalore, India January 03-January 07
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICVD.2001.902664The 14th International Conference on ...
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Amit Sinha, Massachusetts Institute of Technology
Anantha P. Chandrakasan, Massachusetts Institute of Technology
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.
Citation:
Amit Sinha, Anantha P. Chandrakasan, "Dynamic Voltage Scheduling Using Adaptive Filtering of Workload Traces," vlsid, pp.221, The 14th International Conference on VLSI Design (VLSID '01), 2001
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