Title :
Adaptive system on a chip (ASOC): a backbone for power-aware signal processing cores
Author :
Laffely, Andrew ; Liang, Jian ; Tesseir, R. ; Burleson, Wayne
Author_Institution :
Dept. of Electr. & Comput. Eng., Massachusetts Univ., Amherst, MA, USA
Abstract :
For motion estimation (ME) and discrete cosine transform (DCT) of MPEG video encoding, content variation and perceptual tolerance in video signals can be exploited to gracefully trade quality for low power. As a result, power-aware hardware cores have been proposed for these video encoding subsystems. Adaptive system-on-a-chip, aSoC, supports power-aware cores by providing an on-chip communications framework designed to promote scalability and flexibility in system-on-a-chip designs. This paper describes aSoC´s ability to dynamically control voltage and frequency scaling through a simple voltage and frequency selection scheme. A small demonstration system is tested and shows up to 90% reduction in core power when the aSoC voltage scaling features are enabled.
Keywords :
discrete cosine transforms; frequency control; motion estimation; multiprocessing systems; system-on-chip; video coding; voltage control; DCT; MPEG video encoding; adaptive SoC; adaptive system-on-chip; content variation; discrete cosine transform; frequency control; motion estimation; on-chip communications; perceptual tolerance; power-aware signal processing cores; video signals; voltage control; Adaptive signal processing; Adaptive systems; Discrete cosine transforms; Encoding; Frequency; Hardware; Motion estimation; Spine; System-on-a-chip; Video signal processing;
Conference_Titel :
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
Print_ISBN :
0-7803-7750-8
DOI :
10.1109/ICIP.2003.1247192