Title :
Dynamic voltage scheduling using adaptive filtering of workload traces
Author :
Sinha, Amit ; Chandrakasan, Anantha P.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., MIT, Cambridge, MA, USA
Abstract :
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
Keywords :
circuit optimisation; computer power supplies; least mean squares methods; prediction theory; processor scheduling; statistical analysis; adaptive filtering; dynamic voltage scheduling; energy savings; magnitude energy savings; update frequency; workload prediction; workload statistics; workload traces; Adaptive filters; Adaptive scheduling; Delay; Dynamic scheduling; File servers; Filtering; Frequency; Processor scheduling; Statistics; Voltage control;
Conference_Titel :
VLSI Design, 2001. Fourteenth International Conference on
Conference_Location :
Bangalore
Print_ISBN :
0-7695-0831-6
DOI :
10.1109/ICVD.2001.902664
