Title :
Algorithm-based low-power DSP system design: methodology and verification
Author :
Wu, An-Yeu ; Liu, K. J Ray ; Zhang, Zhongying ; Nakajima, Kazuo ; Raghupathy, Arun ; Shang-Chieh Liu
Author_Institution :
Dept. of Electr. Eng., Maryland Univ., College Park, MD, USA
Abstract :
We present a low-power design methodology based on the multirate approach for DSP systems. Since the data rate in the resulting multirate implementation is M-times slower (where M is a positive integer) than the original data rate while maintaining the same throughput rate, we can apply this feature to either the low-power implementation, or the speed-up of the DSP systems. This design methodology provides VLSI designers with a systematic tool to design low-power DSP systems at the algorithmic/architectural level. The proposed low-power multirate design scheme is verified by the implementation of two FIR VLSI chips with different architectures: one is the normal pipelined design and the other is the multirate FIR design with downsampling rate equal to two. Using the CMOS power dissipation model, we can predict that the multirate FIR chip consumes only 29% power of the normal FIR chip given the same throughput rate. The predicted results will be verified by measuring real power consumption of both chips
Keywords :
CMOS digital integrated circuits; FIR filters; VLSI; digital filters; digital signal processing chips; integrated circuit design; pipeline processing; CMOS power dissipation model; FIR VLSI chips; VLSI design; data rate; downsampling rate; low-power DSP system; multirate approach; pipelined design; real power consumption; throughput rate; Algorithm design and analysis; Design methodology; Digital signal processing; Digital signal processing chips; Finite impulse response filter; Power dissipation; Predictive models; Semiconductor device modeling; Throughput; Very large scale integration;
Conference_Titel :
VLSI Signal Processing, VIII, 1995. IEEE Signal Processing Society [Workshop on]
Conference_Location :
Sakai
Print_ISBN :
0-7803-2612-1
DOI :
10.1109/VLSISP.1995.527499