DocumentCode :
3368140
Title :
Selective instruction set muting for energy-aware adaptive processors
Author :
Shafique, Muhammad ; Bauer, Lars ; Henkel, Jörg
Author_Institution :
Dept. for Embedded Syst., Karlsruhe Inst. of Technol. (KIT), Karlsruhe, Germany
fYear :
2010
fDate :
7-11 Nov. 2010
Firstpage :
353
Lastpage :
360
Abstract :
We propose a new way to save energy in adaptive processors. According to an execution context the custom instruction set of an adaptive processor is selectively ´muted´ at run time and thus the energy efficiency is significantly increased. Implemented are multiple so-called ´muting modes´ each leading to particular leakage energy savings. A key challenge of this work is to determine which of the muting modes are beneficial for which part of the custom instruction set in a specific execution context. We demonstrate the feasibility by means of an H.264 video encoder (although not limited to that) for various technology nodes. The complex and unpredictable processing behavior of an H.264 encoder represents thereby a real-world scenario. Our results show on average more than 30% energy savings compared to state-of-the-art. We claim that adaptive processors (and reconfigurable computing in general) would be far more energy efficient if FPGA vendors would provide a basic infrastructure that is necessary to exert our novel technique.
Keywords :
digital signal processing chips; energy conservation; field programmable gate arrays; instruction sets; low-power electronics; power aware computing; video coding; FPGA; H.264 video encoder; energy efficiency; energy saving; energy-aware adaptive processors; reconfigurable computing; selective instruction set muting; Context; Fabrics; Field programmable gate arrays; Hardware; Program processors; Random access memory; Transistors; adaptive processors; custom instruction; energy minimization; leakage; low power; power-gating; reconfigurable computing; run-time adaptation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Aided Design (ICCAD), 2010 IEEE/ACM International Conference on
Conference_Location :
San Jose, CA
ISSN :
1092-3152
Print_ISBN :
978-1-4244-8193-4
Type :
conf
DOI :
10.1109/ICCAD.2010.5653636
Filename :
5653636
Link To Document :
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