scholarly journals Low Power and High Variation Tolerant 9T-SRAM Cell at 16-nm Technology Node

Author(s):  
Soumitra Pal ◽  
Aminul Islam
Keyword(s):  
2021 ◽  
Vol 13 ◽  
Author(s):  
Vijay Kumar Sharma ◽  
Masood Ahmad Malik

Background: As the Technology node scales down to deep sub-micron regime, the design of static random-access memory (SRAM) cell becomes a critical issue because of increased leakage current components. These leakage current components prevent to design a low power processor as large of the processor power is consumed by the memory part. Objective: In this paper, a SRAM cell is designed based on ON/OFF logic (ONOFIC) approach. Static noise margin (SNM) of the cell for the different states are calculated and evaluated by using butterfly as well as noise (N) curves with the help of Cadence tools at 45 nm technology node. Methods: ONOFIC approach helps to reduce the leakage current components which makes a low power memory cell. A performance comparison is made between the conventional six-transistor (6T) SRAM cell and memory cell using ONOFIC approach. Results: Low value of power delay product (PDP) is the outcome of ONOFIC approach as compared to conventional cell. ONOFIC approach decreases PDP by 99.99% in case of hold state. Conclusions: ONOFIC approach improves the different performance metrics for the different states of the SRAM cell.


2017 ◽  
Vol MCSP2017 (01) ◽  
pp. 7-10 ◽  
Author(s):  
Subhashree Rath ◽  
Siba Kumar Panda

Static random access memory (SRAM) is an important component of embedded cache memory of handheld digital devices. SRAM has become major data storage device due to its large storage density and less time to access. Exponential growth of low power digital devices has raised the demand of low voltage low power SRAM. This paper presents design and implementation of 6T SRAM cell in 180 nm, 90 nm and 45 nm standard CMOS process technology. The simulation has been done in Cadence Virtuoso environment. The performance analysis of SRAM cell has been evaluated in terms of delay, power and static noise margin (SNM).


2021 ◽  
Vol 1964 (6) ◽  
pp. 062018
Author(s):  
K Ramamohan Reddy ◽  
P Aruna Priya
Keyword(s):  

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