DocumentCode :
2537173
Title :
Adaptive low-power bus encoding based on weighted code mapping
Author :
Brahmbhatt, Avnish R. ; Zhang, Jingyi ; Qiu, Qinru ; Wu, Qing
Author_Institution :
Dept. of Electr. & Comput. Eng., Binghamton Univ., NY
fYear :
2006
fDate :
21-24 May 2006
Lastpage :
1742
Abstract :
In this paper, we propose an adaptive low-power bus encoding algorithm based on weighted code mapping (WCM). The WCM algorithm transforms an original bus data vector to a low-energy code through one-to-one mapping. The code mapping is determined by the data probability distribution in the original sequence. The WCM algorithm considers both the self and coupling capacitance of the bus wires. A window-based adaptive encoding algorithm is proposed to improve the energy saving by adaptively changing the code mapping for different data probability characteristics. Experimental results show that the proposed algorithm outperforms the existing coding algorithms by either significantly lower computation/hardware complexity or higher energy savings
Keywords :
adaptive codes; capacitance; computational complexity; encoding; statistical distributions; WCM algorithm; adaptive bus encoding; bus data vector; bus wires; computational complexity; coupling capacitance; data probability distribution; hardware complexity; low-energy code; low-power bus encoding; one-to-one mapping; self capacitance; weighted code mapping; Capacitance; Crosstalk; Distributed computing; Encoding; Energy dissipation; Hardware; Heuristic algorithms; Probability distribution; Switches; Wires;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on
Conference_Location :
Island of Kos
Print_ISBN :
0-7803-9389-9
Type :
conf
DOI :
10.1109/ISCAS.2006.1692941
Filename :
1692941
Link To Document :
بازگشت