Title :
Low power data processing by elimination of redundant computations
Author :
Azam, Muhammad ; Franzon, Paul ; Liu, Wentai
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
Abstract :
We suggest a new technique to reduce energy consumption in the processor datapath without sacrificing performance by exploiting operand value locality at run time. Data locality is one of the major characteristics of video streams as well as other commonly used applications. We use a cache-like scheme to store a selective history of computation results, and the resultant re-use leads to power savings. The cache is indexed by the operands. Based on our model, an 8 to 128 entry execution cache reduces power consumption by 20% to 60%.
Keywords :
cache storage; memory architecture; microprocessor chips; redundancy; cache-like scheme; chip power consumption reduction; data locality; low power data processing; operand value locality; processor datapath; redundant computations elimination; video streams; Circuits; Data processing; Discrete wavelet transforms; Encoding; Energy consumption; Finite impulse response filter; Fourier transforms; Hazards; History; Permission;
Conference_Titel :
Low Power Electronics and Design, 1997. Proceedings., 1997 International Symposium on
Conference_Location :
Monterey, CA, USA
Print_ISBN :
0-89791-903-3