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Performance and Area Optimization of SRAM Cell in Nanocomputing Application
A Shrink in technology leads to decrease in voltage supply which returns in power leakage. This affects the data stability in Static Ram Access Memory (SRAM) cell. Static noise margin (SNM) is needed for the measurement of data stability in SRAM cell. Data stability for SRAM cell relies on the largest DC noise which can be ignored at the inverters outputs which are cross coupled without changing the data in SRAM cell. This paper presents 6T, 7T, 8T, 9T, 10T design and analysis which increases the data stability of SRAM during write and read mode. These cells are compared with respect to their read static noise margin (RSNM), hold noise margin (HSNM), write 0 delay, write 1 delay, average write delay, static power, average dynamic power, total power dissipation and surface area. Finger method is used to create layouts of different SRAM cells which reduce the surface area of cell. This method is also required to reduce the parasitic in layout design. The layout of different cells of SRAM and an SRAM with 4×4 array of 6T cell is implemented on virtuoso tool of cadence software using 45nm Technology. After the simulation outcome, it is found that 10T cell has maximum RSNM which is 0.42V and it has minimum total power dissipation. Process variation and Monte Carlo simulation for different SRAM cells are carried out. Process variation is done for the RSNM parameter of the memory cells. After the simulation it is observed that the performance of 10T design is best among all simulated SRAM cells. Comparison of 6T, 8T and 9T cell design with previous work shows the improvement in RSNM at the price of write delay. 10T SRAM cell using CNFET (carbon nanotube field-effect transistor) is simulated which has channel length of 11nm at 0.3V of voltage supply. After simulation it has observed that 10T SRAM cell based on CNFET has low total power of dissipation.
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Publisher | International Journal of Computing and Digital Systems : Bahrain., 2022 |
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005
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Language |
English
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ISBN/ISSN |
2210-142X
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NONE
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Other Information
Accreditation |
Scopus Q3
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