DocumentCode :
2642274
Title :
Efficient and Scalable Compiler-Directed Energy Optimization for Realtime Applications
Author :
Huang, Po-Kuan ; Ghiasi, Soheil
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Davis, CA
fYear :
2007
fDate :
16-20 April 2007
Firstpage :
1
Lastpage :
6
Abstract :
We present a compilation technique that targets realtime applications running on embedded processors with combined dynamic voltage scaling (DVS) and adaptive body biasing (ABB) capabilities. Considering the delay and energy penalty of switching between operating modes of the processor, our compiler judiciously inserts mode switch instructions in selected locations of the code and generates executable binary that is guaranteed to meet the deadline constraint. More importantly, our algorithm runs very fast and comes reasonably close to the theoretical limit of energy optimization using DVS+ABB. At 65 nm technology, we improve the energy dissipation of the generated code by an average of11.4% under deadline constraints. While our technique´s improvement in energy dissipation over conventional DVS is marginal (3%) at 130nm, the average improvement continues to grow to 4.7%, 8.8% and 15.4% for 90nm, 65nm and 45nm technology nodes, respectively. Compared to a recent ILP-based competitor, we improve the runtime by more than three orders of magnitude, while producing improved results
Keywords :
power aware computing; program compilers; real-time systems; 45 nm; 65 nm; 90 nm; adaptive body biasing; compiler; dynamic voltage scaling; embedded processors; energy dissipation; energy optimization; realtime applications; Application software; CMOS technology; Delay; Dynamic voltage scaling; Energy consumption; Frequency; Optimizing compilers; Runtime; Switches; Voltage control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design, Automation & Test in Europe Conference & Exhibition, 2007. DATE '07
Conference_Location :
Nice
Print_ISBN :
978-3-9810801-2-4
Type :
conf
DOI :
10.1109/DATE.2007.364386
Filename :
4211896
Link To Document :
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