DocumentCode
2922551
Title
Power consumption in transistor networks versus in standard cells
Author
Scartezzini, Gerson ; Reis, Ricardo
Author_Institution
Inst. de Inf., Univ. Fed. do Rio Grande do Sul - UFRGS, Porto Alegre, Brazil
fYear
2011
fDate
11-14 Dec. 2011
Firstpage
740
Lastpage
743
Abstract
Optimization of circuits to reduce power consumption is more and more important. Techniques to reduce power at architectural level are not sufficient to minimize the impact of power consumption in modern designs, using nano CMOS technologies. Classical standard cells methodology is widely used in digital designs. However it is far away of power optimization at physical design level. It is becoming necessary the establishment of a new physical design methodology to improve power reduction, mainly due to the leakage power increase. It is needed a methodology to allow the automatic generation of the layout of any logic function. The method should also optimize the circuit as much as possible. Considering this, the paper is focused in showing that the use of transistors networks gives a better solution in terms of power and delay than the traditional approach of using predesigned cells available in commercial standard cell libraries. The presented comparisons show an average reduction of 74% in leakage power and 21% in delay.
Keywords
MOSFET; delays; nanotechnology; optimisation; automatic generation; circuit optimization; classical standard cell methodology; commercial standard cell library; digital design; leakage power; logic function; nanoCMOS technology; physical design level methodology; power consumption; power optimization; power reduction improvement; transistor network; CMOS integrated circuits; Delay; Layout; Libraries; Power demand; Transistors;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Circuits and Systems (ICECS), 2011 18th IEEE International Conference on
Conference_Location
Beirut
Print_ISBN
978-1-4577-1845-8
Electronic_ISBN
978-1-4577-1844-1
Type
conf
DOI
10.1109/ICECS.2011.6122380
Filename
6122380
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