Design and Implementation of Intelligent System of Low Power Sleepy Stack for the SRAM (Static Random- Access Memory)

Authors

  • Ravi H. Talawar Assistant Professor, Department Electronics and Communication Engg., Visvesvaraya Technological University, Belagavi
  • Ramachandra A. C. Professor & Research Supervisor, (Visvesvaraya Technological University, Belagavi), Department of Electronics and Communication Engg., Nitte Meenakshi Institute of Technology, Bangalore

Keywords:

SRAM, Leakage, Sleepy Keeper Transistor, Dynamic Power, CMOS design, PMOS design

Abstract

Different SRAM cell typologies includes 10T, 9T, 8T, and 7T in performance improvement and stability that enhances in specific regions as a trade-of. The count of the transistors have the possibility to be reduces to compensate certain area with the dynamic CMOS logic utilization that have the possibility in high performance maintenance. The current research focused on a intelligent sleepy technique along with AVS design is proposed for low-power SRAM for reducing power consumption utilizing multi-threshold CMOS circuit. Therefore, the SRAM is implemented in the research using sleep transistors along with an additional leakage current feedback-transistor along with MTCMOS primary structure which is implemented with an effective result in terms of certain factors such as delay, area, and power.

Downloads

Download data is not yet available.

References

H. Kumar, and V. K. Tomar, “A review on performance evaluation of different low power SRAM cells in nano-scale era,” Wireless Personal Communications, vol. 117, no. 3, pp. 1959-1984, Apr. 2021.

A. Sachdeva, and V. K. Tomar, “A soft-error resilient low power static random access memory cell,” Analog Integrated Circuits and Signal Processing, vol. 109, no. 1, pp. 187-211, Jun. 2021.

R. Agrawal, A. Kumar, S. A. AlQahtani, M. Maashi, O. I. Khalaf, and T. H. Aldhyani, “Cache Memory Design for Single Bit Architecture with Different Sense Amplifiers,” Computers, Materials & Continua, vol. 73, no. 2, pp. 2313-2331, Jun. 2022.

S. Banu, and & S. Gupta, “Design and Leakage Power Optimization of 6T Static Random Access Memory Cell Using Cadence Virtuoso,” IJEER, vol. 10, no. 2, pp. 341-346, Jun. 2022.

D. Satyaraj, and V. Bhanumathi, “Efficient design of dual controlled stacked SRAM cell,” Analog Integrated Circuits and Signal Processing, vol. 107, no. 2, pp. 369-376, May. 2021.

D. Chaudhary, V. Muppalla, and A. Mukheerjee, “Design of low power stacked inverter based sram cell with improved write ability,” in 2020 IEEE Region 10 Symposium (TENSYMP), Dhaka, Bangladesh, Jun. 2020, pp. 925-928.

E. Abbasian, and M. Gholipour, “Single‐ended half‐select disturb‐free 11T static random access memory cell for reliable and low power applications,” International Journal of Circuit Theory and Applications, vol. 49, no. 4, pp. 970-989, Apr. 2021.

A. K. Tamilarasan, D. S. Edward, and A. S. T. Sarasam, “KLECTOR: Design of Low Power Static Random-Access Memory Architecture with reduced Leakage Current,” Research Square, to be published. https://doi.org/10.21203/rs.3.rs-232660/v1

K. Gavaskar, M. S. Narayanan, M. S. Nachammal, and K. Vignesh, “Design and comparative analysis of SRAM array using low leakage controlled transistor technique with improved delay,” Journal of Ambient Intelligence and Humanized Computing, vol. 13, pp. 4559–4568, Jun. 2021.

J. Kuruvilla, “A Stable Low Power Dissipating 9T SRAM For Implementation of 4x4 Memory Array with High Frequency Analysis,” Research Square, to be published. https://doi.org/10.21203/rs.3.rs-436605/v1

A. Chaudhary and A. Rana, “Ultra Low power SRAM Cell for High Speed Applications using 90nm CMOS Technology,” in 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)(ICRITO), Noida, India, Sep. 2020, pp. 1107-1109.

Kakkar, R., Goyal, S., Singh, J., Khosla, D., & Singh, S. “IMPLEMENTATION AND MODELING OF LOW POWER SLEEPY STACK SRAM,” Journal of Advanced Sciences, vol. 1, no. 1, Jun. 2022.

S. Pousia, and K. Murugan, (2021, March). “VLSI Implementation Of High Speed Low Power Design Using Hybrid Power Gating Technique,” in IOP Conference Series: Materials Science and Engineering, Tamil Nadu, India, Mar. 2021, p. 012058.

M. Wu, (2010). “On the application of graphics processor to wireless receiver design,” Master’s Thesis, Rice University, Texas, USA, 2010.

G. K. Venkatesh, S.Bhargavi, Basavaraj V. Hiremath, Anil Kumar C. “Design and Performance Analysis of low power and high throughput of analog data compression and decompression using ANN in 32nm FinFET Technology”, International Journal Of Circuits, Systems And Signal Processing NAUN Publishers, North America, E-ISSN 1996 4464 Volume-15, 2021

Meena , B. S. . (2023). Plant Health Prediction and Monitoring Based on convolution Neural Network in North-East India. International Journal on Recent and Innovation Trends in Computing and Communication, 11(2s), 12–19. https://doi.org/10.17762/ijritcc.v11i2s.6024

Brian Moore, Peter Thomas, Giovanni Rossi, Anna Kowalska, Manuel López. Exploring Natural Language Processing for Decision Science Applications. Kuwait Journal of Machine Learning, 2(4). Retrieved from http://kuwaitjournals.com/index.php/kjml/article/view/217

Downloads

Published

10.11.2023

How to Cite

Talawar, R. H. ., & A. C., R. . (2023). Design and Implementation of Intelligent System of Low Power Sleepy Stack for the SRAM (Static Random- Access Memory) . International Journal of Intelligent Systems and Applications in Engineering, 12(4s), 240–250. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3788

Issue

Section

Research Article