Design and analysis of two low power sram cell structures

In this paper, two static random access memory (SRAM) cells that reduce the static power dissipation due to gate and subthreshold leakage currents are presented. The first cell structure results in reduced gate voltages for the NMOS pass transistors, and thus lowers the gate leakage current. It reduces the subthreshold leakage current by increasing the ground level during the idle (inactive) mode. The second cell structure makes use of PMOS pass transistors to lower the gate leakage current. In addition, dual threshold voltage technology with forward body biasing is utilized with this structure to reduce the subthreshold leakage while maintaining performance. Compared to a conventional SRAM cell, the first cell structure decreases the total gate leakage current by 66% and the idle power by 58% while the second cell structure reduces the total gate leakage current by 27% and the idle power by 37% with no access time degradation

Using pMOS Pass-Gates to Boost SRAM Performance by Exploiting Strain Effects in Sub-20-nm FinFET Technologies

Strained fin is one of the techniques used to improve the devices as their size keeps reducing in new nanoscale nodes. In this paper, we use a predictive technology of 14 nm where pMOS mobility is significantly improved when those devices are built on top of long, uncut fins, while nMOS devices present the opposite behavior due to the combination of strains. We explore the possibility of boosting circuit performance in repetitive structures where long uncut fins can be exploited to increase fin strain impact. In particular, pMOS pass-gates are used in 6T complementary SRAM cells (CSRAM) with reinforced pull-ups. Those cells are simulated under process variability and compared to the regular SRAM. We show that when layout dependent effects are considered the CSRAM design provides 10% to 40% faster access time while keeping the same area, power, and stability than a regular 6T SRAM cell. The conclusions also apply to 8T SRAM cells. The CSRAM cell also presents increased reliability in technologies whose nMOS devices have more mismatch than pMOS transistors

Low Leakage and Robust Sub-threshold SRAM Cell using Memristor

This work aims to improve the total power dissipation, leakage currents and stability without disturbing the logic state of SRAM cell with concept called sub-threshold operation. Though, sub-threshold SRAM proves to be advantageous but fails with basic 6T SRAM cell during readability and writability. In this paper we have investigated a non-volatile 6T2M (6 Transistors & 2 Memristors) sub-threshold SRAM cell working at lower supply voltage of VDD=0.3V, where Memristor is used to store the information even at power failures and restores previous data with successful read and write operation overcomes the challenge faced. This paper also proposes a new configuration of non-volatile 6T2M (6 Transistors & 2 Memristors) sub-threshold SRAM cell resulting in improved behaviour in terms of power, stability and leakage current where read and write power has improved by 40% and 90% respectively when compared to 6T2M (conventional) SRAM cell. The proposed 6T2M SRAM cell offers good stability of RSNM=65mV and WSNM=93mV which is much improved at low voltage when compared to conventional basic 6T SRAM cell, and improved leakage current of 4.92nA is achieved as compared

Low Leakage and Robust Sub-threshold SRAM Cell using Memristor

This work aims to improve the total power dissipation, leakage currents and stability without disturbing the logic state of SRAM cell with concept called sub-threshold operation. Though, sub-threshold SRAM proves to be advantageous but fails with basic 6T SRAM cell during readability and writability. In this paper we have investigated a non-volatile 6T2M (6 Transistors & 2 Memristors) sub-threshold SRAM cell working at lower supply voltage of VDD=0.3V, where Memristor is used to store the information even at power failures and restores previous data with successful read and write operation overcomes the challenge faced. This paper also proposes a new configuration of non-volatile 6T2M (6 Transistors & 2 Memristors) sub-threshold SRAM cell resulting in improved behaviour in terms of power, stability and leakage current where read and write power has improved by 40% and 90% respectively when compared to 6T2M (conventional) SRAM cell. The proposed 6T2M SRAM cell offers good stability of RSNM=65mV and WSNM=93mV which is much improved at low voltage when compared to conventional basic 6T SRAM cell, and improved leakage current of 4.92nA is achieved as compared

Design and statistical analysis (MONTE-CARLO) of low-power and high stable proposed SRAM cell structure

The reduction of the channel length due to scaling increases the leakage current resulting in a major contribution to the static power dissipation and for stability of the SRAM cell good noise margin is required so noise margin is the most important parameter for memory design. The higher noise margin of the cell confirms the high-speed of SRAM cell. In this work, a novel SRAM cell with eight transistors is being proposed to reduce the static hence total power dissipation. When compared to the conventional 6T SRAM and NC-SRAM cell, the proposed SRAM shows a significant reduction in the gate leakage current, static and total power dissipation while produce higher stability. In the technique employed for the proposed SRAM cell, the operating voltage is reduced in idle mode. The technique led a reduction of 31.2% in the total power dissipation, a reduction of 40.4% on static power dissipation, and The SVNM SINM WTV and WTI of proposed SRAM cell was also improved by 11.17%, 52.30%, 2.15%, 59.1% respectively as compare to 6T SRAM cell and as compare to NC-SRAM cell is 27.26%, 47.44%, 4.31%, 64.44% respectively. It can be found that the proposed cell is taking 28.6% extra area from the conventional SRAM cell whereas it is almost same with NC-SRAM cell. Cadence Virtuoso tools are used for simulation with 90- nm CMOS process technology

A Comparative Analysis of 6T and 10T SRAM Cells for Sub-threshold Operation in 65 nm CMOS Technology

The aggressive approach of the integrated electronics industry towards scaling and the growing trend of low-power applications have led to major research interest in ultra-low power integrated circuits. One of the integrated circuit areas most affected by this revolution is computer memory. In this thesis, a 10-Transistor Static Random Access Memory is compared to a 6-Transistor Static Random Access Memory in the subthreshold region of operation for a 65nm technology node. This comparison focuses primarily on the stability of memory cells in performing read and write operations. The use of 3-dimentional graphs in this thesis is to better compare differences and to give a feedback to memory designers about the design possibilities. A low-power Write Margin improvement method is proposed for the 10-Transistor cell to bring its stability to a standard comparable to that of its 6-transistor counterpart

Low power predictable memory and processing architectures

Great demand in power optimized devices shows promising economic potential and draws lots of attention in industry and research area. Due to the continuously shrinking CMOS process, not only dynamic power but also static power has emerged as a big concern in power reduction. Other than power optimization, average-case power estimation is quite significant for power budget allocation but also challenging in terms of time and effort. In this thesis, we will introduce a methodology to support modular quantitative analysis in order to estimate average power of circuits, on the basis of two concepts named Random Bag Preserving and Linear Compositionality. It can shorten simulation time and sustain high accuracy, resulting in increasing the feasibility of power estimation of big systems. For power saving, firstly, we take advantages of the low power characteristic of adiabatic logic and asynchronous logic to achieve ultra-low dynamic and static power. We will propose two memory cells, which could run in adiabatic and non-adiabatic mode. About 90% dynamic power can be saved in adiabatic mode when compared to other up-to-date designs. About 90% leakage power is saved. Secondly, a novel logic, named Asynchronous Charge Sharing Logic (ACSL), will be introduced. The realization of completion detection is simplified considerably. Not just the power reduction improvement, ACSL brings another promising feature in average power estimation called data-independency where this characteristic would make power estimation effortless and be meaningful for modular quantitative average case analysis. Finally, a new asynchronous Arithmetic Logic Unit (ALU) with a ripple carry adder implemented using the logically reversible/bidirectional characteristic exhibiting ultra-low power dissipation with sub-threshold region operating point will be presented. The proposed adder is able to operate multi-functionally