Title :
Procrastinating voltage scheduling with discrete frequency sets
Author :
Lu, Zhijian ; Zhang, Yan ; Stan, Mircea ; Lach, John ; Skadron, Kevin
Author_Institution :
Dept. of Electr. & Comput. Eng., Virginia Univ., Charlottesville, VA
Abstract :
This paper presents an efficient method to find the optimal intra-task voltage/frequency scheduling for single tasks in practical real-time systems using statistical workload information. Our method is analytic in nature and proved to be optimal. Simulation results verify our theoretical analysis and show significant energy savings over previous methods. In addition, in contrast to the previous techniques in which all available frequencies are used in a schedule, we find that, by carefully selecting a subset of a small number of frequencies, one can still design a reasonably good schedule while avoiding unnecessary transition overheads
Keywords :
dynamic programming; processor scheduling; real-time systems; discrete frequency sets; frequency scheduling; real-time systems; statistical workload information; voltage scheduling; Analytical models; Circuits; Computer science; Dynamic voltage scaling; Embedded system; Energy consumption; Frequency; Processor scheduling; Real time systems; Voltage control;
Conference_Titel :
Design, Automation and Test in Europe, 2006. DATE '06. Proceedings
Conference_Location :
Munich
Print_ISBN :
3-9810801-1-4
DOI :
10.1109/DATE.2006.243828