Title :
Partitioned bus coding for energy reduction
Author :
Xie, Lin ; Qiu, Peiliang ; Qiu, Qinru
Author_Institution :
Dept. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou, China
Abstract :
For VLSI design in deep sub micron technology, the bus energy reduction has become more and more important. This paper studies the bus partition scheme for the transition pattern coding (TPC). The genetic algorithm based approach is used. A closed-form expression is derived to calculate the energy dissipation for the partitioned bus with TPC coding. A general bus model with coupling capacitance is considered during the energy estimation and optimization. The resulted partitioned bus coding reduces the encoding and decoding complexity of the original TPC. The experimental results show that the TPC with careful bus partitioned saves up to 16.9% the energy of the TPC with random bus partition.
Keywords :
VLSI; encoding; genetic algorithms; low-power electronics; system buses; VLSI design; bus energy reduction; bus model; coupling capacitance; decoding complexity; deep sub micron technology; encoding complexity; energy dissipation; energy estimation; energy optimization; genetic algorithm; partitioned bus coding; transition pattern coding; Capacitance; Closed-form solution; Decoding; Design engineering; Energy dissipation; Genetic algorithms; Information science; Partitioning algorithms; Power engineering and energy; Very large scale integration;
Conference_Titel :
Design Automation Conference, 2005. Proceedings of the ASP-DAC 2005. Asia and South Pacific
Print_ISBN :
0-7803-8736-8
DOI :
10.1109/ASPDAC.2005.1466577