Title :
Data driven signal processing: an approach for energy efficient computing
Author :
Chandrakasan, Anantha ; Gutnik, Vadim ; Xanthopoulos, Thucydides
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., MIT, Cambridge, MA, USA
Abstract :
The computational switching activity of digital CMOS circuits can be dynamically minimized by designing algorithms that exploit signal statistics. This results in processors that have time-varying power requirements and perform computation on demand. An approach is presented to minimize the energy dissipation per data sample in variable-load DSP systems by adaptively minimizing the power supply voltage for each sample using a variable switching speed processor. In general, using buffering and filtering, the computation can be spread over multiple samples averaging the workload and lowering energy further. It is also shown that four levels of voltage quantization combined with dithering is sufficient to closely emulate arbitrary voltage levels
Keywords :
CMOS digital integrated circuits; decoding; digital signal processing chips; quantisation (signal); time-varying systems; arbitrary voltage levels; computation on demand; computational switching activity; data driven signal processing; digital CMOS circuits; dithering; energy dissipation; energy efficient computing; multiple samples; power supply voltage; signal statistics; time-varying power requirements; variable switching speed processor; variable-load DSP systems; voltage quantization; Algorithm design and analysis; CMOS digital integrated circuits; Energy dissipation; Energy efficiency; Signal design; Signal processing; Signal processing algorithms; Statistics; Switching circuits; Voltage;
Conference_Titel :
Low Power Electronics and Design, 1996., International Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-3571-6
DOI :
10.1109/LPE.1996.547537