شماره ركورد كنفرانس :
3926
عنوان مقاله :
The Optimum Design of a Master-Slave D-Flip Flap (M/S-DFF) based on the modified GDI (m-GDI) Method Using Non-dominated Sorting Genetic Algorithm II (NSGA-II)
پديدآورندگان :
Abiri Ebrahim abiri@sutech.ac.ir Department of Electrical and Electronic Engineering Shiraz University of Technology Shiraz, Iran , Bezareh Zobeideh bezareh84@yahoo.com Department of Electrical and Electronic Engineering Shiraz University of Technology Shiraz, Iran , Darabi Abdolreza darabi.aa@gmail.com Department of Electrical and Electronic Engineering Shiraz University of Technology Shiraz, Iran
كليدواژه :
Gate Diffusion Input (GDI) Technique , MasterSlave Data , Flip Flap (M , S , DFF) , Non , dominated Sorting Genetic Algoritm II (NSGA , II) , Power , Delay Production (PDP)
عنوان كنفرانس :
بيست و چهارمين كنفرانس مهندسي برق ايران
چكيده فارسي :
Gate diffusion input (GDI) technique provides the possibility of low power logic gates design with lower number of transistors in a simple structure. In this paper, first the modified GDI (m- GDI) cell is presented by employing carbon nano tube field effect transistor (CNTFET). Then a new configuration for master-slave Data-flip flap (M/S-DFF) is proposed based on the m-GDI cell. For optimizing the performance of the proposed M/S-DFF and gaining the minimum power and delay, the transistors size is adjusted with Non-dominated Sorting Genetic Algorithm II (NSGA-II) in MATLAB software. The circuit simulation is done with the help of H-SPICE software in 32nm CNTFET technology. Due to the achieved results of the proposed M/S-DFF simulation, the power consumption and delay decrease about 74.6% and 13.75%, respectively, in compare with similar flip flaps which aren’t optimized.
