Gating transistor power saving technique for power optimized code book SRAM

1kb static random access memory (SRAM) is designed and tested for correct read and write operation. Novel Sense Amplifier (SA) circuit for 1kb SRAM are presented and analysed in this paper. Sense amplifier using decoupled latch with current controlled architecture is proposed and compared with Current controlled latch SA using 90nm CMOS technology. Delay and power dissipation in proposed SA is 21.5% and 18.5% less than that of current controlled SA. The maximum operating frequency of the SRAM is found as 1.25GHz.

This work evaluates the performance of Neuromorphic architecture for accessing Static Random Access Memory (SRAM) in an asynchronous manner. Spike-Timing Dependent Plasticity (STDP) learning algorithm for updating the synaptic weights values in the SRAM module. Input, output, and synaptic weight values are transmitted to/from the chip using a common communication protocol based on the Address Event Representation (AER). Memory array an important block in digital system. Bassically SRAM is used for increasing speed of the processor. Which is mostly connected between the DRAM and microprocessor. SRAM serves as cache memory which stores the information and losses its data without power. We may design the SRAM using 4T, 6T, 8T....for storing one bit. Sense amplifier is used to perform read and write operation. Instead of using sense amplifier we use the neural network concept. Synapse is connected between the SRAM and neuron. The minute gap across which nerve impulses pass from one neurone to the next, at the end of a nerve fiber. Each neurone has an enlarged portion the cell body, containing the nucleus; from the body extend several process through which impulses enter from their branches. A longer process, the nerve fiber, extends outwards and carries impulse away from the cell body. This is normally unbranched except at the nerve ending. This consumes less power than the normal memory circuit.

A low power CMOS Static Random Access Memory (SRAM) based Field Programmable Gate Arrays (FPGA) architecture is being presented in this paper. The architecture presented here is based on CMOS logic and CMOS SRAMs that are used for on-chip dynamic reconfiguration. This architecture employs the fast and low-power SRAM blocks that are based on 10T SRAM cells. These blocks are employed in fast access of the configuration bits by using the shadow SRAM technique. The dynamic reconfiguration delay is being hidden behind the computation delay through the use of shadow SRAM cells. The combined effect of both the SRAM memory cells and the shadow SRAM scheme enables to support in reducing the delay and also to achieve reduced power consumption. Experimental results show reduced delay of about 8.035ns and power consumption of about 0.015W for the 10T SRAM memory cell with an overhead in area, relative to 4T and 6T SRAM cells. Also, the experimental results include the values of delay of about 8.979ns and power consumption of about 0.052W, achieved for the LB of FPGA architecture which employs CMOS SRAMs using the 10T SRAM memory cells in it.

We present a comparative analysis of a fabricated 65nm CMOS static random access memory (SRAM) chip and commercial SRAM chips in terms of security vulnerability. The security vulnerability is defined as the leakage of information due to the data imprinting effect of the SRAM. There are three main features in this evaluation. First, a complete security vulnerability evaluation flow is proposed to stress the SRAM chips for accelerating the negative-biased temperature-instability (NBTI) degradation, i.e. data imprinting effect, and hence to reveal the stored data of image. Second, the evaluation quantifies the percentage of revealed data, i.e. leakage of information for the comparison of tested SRAMs. Third, the image is reconstructed from the revealed data to illustrate the security vulnerabilities of tested SRAMs. We perform the security vulnerability evaluation on the 65nm CMOS SRAM chip and 4 commercial SRAM chips, namely Alliance, Lyontek, Cypress and AMIC under stressing of high voltage and high temperature. From the experimental results, the stored data is significantly revealed in the deep-submicron (≤90nm) CMOS SRAM chips, i.e. fabricated 65nm CMOS (16.1%), Alliance (16.2%) and Lyontek (21%). After reconstructing the images, they can be identified in the 65nm CMOS, Alliance, Lyontek SRAMs, but remain as random states in the Cypress and AMIC SRAMs.

Today, the increasing need to store more and more information has resulted in the fact that Static Random Access Memories (SRAMs) occupy the greatest part of a System-on-Chip (SoC). Therefore, SRAM's robustness is considered crucial to guarantee the reliability of such SoCs over lifetime. In this context, one of the most important phenomena degrading nano-scale SRAMs reliability is related to Negative-Bias Temperature Instability (NBTI). This paper proposes a new approach based on an On-Chip Aging Sensor (OCAS) to detect SRAM aging during system lifetime. The sensor is able to detect any specific aging state of a cell in the SRAM array. The strategy is based on the connection of an OCAS per SRAM column, which periodically performs off-line testing by monitoring write operations into the SRAM cells to detect aging. The approach is application-transparent since it is does not change the SRAM contents after testing. To prevent OCAS from aging by one side and from dissipating static power by the other side, OCAS circuitry is powered-off during idle periods. SPICE simulations in a 65nm CMOS technology demonstrate the high sensor sensitivity to detect early aging states and so, guarantying high memory reliability. Furthermore, area overhead due to sensor insertion is almost negligible.

Application of quantum-dot cellular automata (QCA) technology as an alternative to CMOS technology on the nanoscale has a promising future; QCA is an interesting technology for building memory. The proposed design and simulation of a new memory cell structure based on QCA with a minimum delay, area, and complexity is presented to implement a static random access memory (SRAM). This paper presents the design and simulation of a 16-bit $\times 32$ -bit SRAM with a new structure in QCA. Since QCA is a pipeline, this SRAM has a high operating speed. The 16-bit $\times 32$ -bit SRAM has a new structure with a 32-bit width designed and implemented in QCA. It has the ability of a conventional logic SRAM that can provide read/write operations frequently with minimum delay. The 16-bit $\times 32$ -bit SRAM is generalized and an $n\times 16$ -bit $\times 32$ -bit SRAM is implemented in QCA. Novel 16-bit decoders and multiplexers (MUXs) in QCA are presented that have been designed with a minimum number of majority gates and cells. The new SRAM, decoders, and MUXs are designed, implemented, and simulated in QCA using a signal distribution network to avoid the coplanar problem of crossing wires. The QCA-based SRAM cell was compared with the SRAM cell based on CMOS. Results show that the proposed SRAM is more efficient in terms of area, complexity, clock frequency, latency, throughput, and power consumption.

-As the demand for low-power, high-performance memory systems grows, the design of efficient SRAM (Static Random Access Memory) cells becomes increasingly crucial. This paper explores the power consumption, performance, and stability of two SRAM cell designs: the conventional 6T and the Single Ended 6T SRAM. While the conventional 6T SRAM is prone to read disturb noise and high leakage power, it remains widely used due to its simplicity and compactness. To address these issues, the Single Ended 6T SRAM cell is introduced as an alternative, which reduces both power consumption and area while maintaining competitive performance. The study provides a detailed analysis of static and dynamic power consumption, read/write stability, and overall energy efficiency for both cell architectures. Simulation results show that the Single Ended 6T SRAM offers significant improvements in power reduction without compromising speed, making it a promising solution for future low-power, high-performance memory applications. Keywords— SRAM cell, Pre-Charge Circuits, Sense Amplifiers, and Single-Ended vs. Conventional 6T SRAM Cell.

As CMOS scaling extends into the Nano scale tech-node, designers need to not only pay attention to the device behavior impact by traditional geometric parameters, such as channel length and width; but also need to be aware on layout implementation details of the device and its surrounding neighborhood. Static Random Access Memories (SRAM) 6T cell is a basic circuit constitute by six single device, including two PMOS and four NMOS. Large SRAM arrays are widely used as cache memory in electric industries and can be applied to monitor process quality and stability in manufacture process. The device performance of single device in SRAM 6T cell determined whether a SRAM cell can function, and seriously influenced the read/write margin of it. As the single device in SRAM 6T cell up against complicated layout surroundings, their performance is largely independent of the neighborhood environment. In this paper, we will focus on three types of local layout effect to SRAM single device, including NW size effect, metal boundary effect and gate extension AA size effect. The change mode of device in SRAM circuit is analyzed and mechanisms is investigated to explain them.

Sense amplifiers developed into very big circuits due to their significant role in Memory design. The sense amplifier plays a significant role in terms of its recital, Functionality and reliability of the memory circuits. Fast access time and low power Dissipation are achieved with newly developed circuits of sense amplifiers for low voltage supply. Static RAM is the sense amplifiers at the ends of the two Complementary bit lines that amplify the small voltages to a normal logic level. Static RAM (SRAM) is a type of random access memory that retains data bits in its Memory as long as power is supplied. The proposed circuit is a P-type metal oxide Semiconductor (PMOS) biased sense amplifier, which provides very high, output Impedance, has reduced sense delay, and has reduced power dissipation. It performs the same operations as conventional circuits. The proposed circuit has a smaller number of transistors, so sensing delay and power consumption are also reduced. These circuits are simulated and examined using the Tanner EDA tool employing 180 nm technology library parameters. Key Words: Low power consumption, Power Consumption, Sense amplifiers, sense delay, static RAM.

Static Random Access Memory (SRAM) serves as a critical component in modern electronic devices, offering high-speed access to stored data. As technologycontinues to advance, there's a growing demand for smaller, faster, and more energy-efficient memory solutions. Carbon nanotubes (CNTs) have emerged as apromising material for pushing the boundaries of conventional silicon-based SRAM designs. This paper presents a comprehensive exploration of the design andoptimization of next- generation SRAM utilizing carbon nanotubes. The unique properties of CNTs, suchas their exceptional electrical conductivity, mechanical strength, and nanoscale dimensions, offer a fertile ground for revolutionizing SRAM architecture. The study delves into the integration of CNTs intoSRAM cell structures, discussing variousconfigurations and layouts to harness the advantageous characteristics of carbon nanotubes. Emphasis is placed on addressing the challenges associated with CNT-based SRAM, including manufacturing scalability, reliability, and variability. In conclusion, the integration of carbon nanotubesin SRAM design offers a compelling avenue to overcome the limitations of traditional silicon-based memory technologies. This study not only highlights the promising prospects of CNTs in SRAM but also provides insights into the challenges and opportunitiesin harnessing these nanomaterials for advanced memory applications. Keywords : Static Random Access Memory (SRAM), Carbon Nanotubes (CNTs), Nanotechnology, Memory Design, Optimization, Electronic Devices, Nanomaterial Integration.

A high-speed sense amplifier capable of static random access memory (SRAM) applications has been developed in this work. The proposed sense amplifier can work at 1GHz with voltage as low as 1.8 V. Restated, the proposed sense amplifier can be used in memory units, as a line receiver and as a restoring element for small-swing logic. Simulated results show that the proposed sense amplifier has 50/spl sim/87.5 % speed improvement compared to the conventional sense amplifiers.

This paper combines several low-leakage and low-cost techniques to design multi-port static random access memory (SRAM) for register file in a vertex shader processor for OpenGL ES 2.0 graphics applications. First, precharge control is employed to eliminate unnecessary precharge operations. Then, dynamic forward body-bias control for leakage reduction is proposed to adjust the threshold voltage of transistors depending on whether memory cell is accessed or idle. Different power-gating methods are presented for SRAM cells and for sense amplifiers. The thin-cell-like lithography-friendly layout style is adopted for the multi-port SRAM cell to achieve more compact and flexible layout with easy addition of read ports. The cross-coupled inverters in the SRAM cell have asymmetric design to reduce area and also increase the writability. A 32×128-bit register file supporting 5-read and 1-write operations is implemented and verified, which has smaller area and lower leakage compared with that from ARM register file generator.

SRAM is the key element used in digital circuits. It is also used as a cache memory in computers, automatic modern equipment like mobile phones, modern appliances, digital calculators, digital cameras, so that the requirements of high-speed advanced memory or embedded memory lead to the development of low-voltage SRAMs. The paper has introduced the design and simulation of the distinctive source-based sense amplifier which is a peripheral circuit for static random access memory (SRAM) that has to amplify the data which is present on the bit lines during the read operation. Simulation of the proposed design has been implemented using 20 nm FinFET technology on the Cadence Virtuoso Tool with a supply voltage of +0.4 V. The main advantages from the proposed design circuit are less power consumption and display of minimum sense delay in sensing the data from SRAM when compared to the existing design circuit. A comparison is drawn between the proposed circuit and the existing design circuit.

Static random access memory (SRAM) product for advanced space applications must demonstrate high performance to meet the ever increasing data rates of space systems and must be radiation hardened to ensure unfettered, reliable operation in the harsh environments of outer space. High performance and radiation hardness are not mutually exclusive. The challenge confronting present day SRAM development is to concurrently achieve both of these objectives. An SRAM design evaluation methodology is described that uncovers limitations on performance, facilitating the identification of both the limiting mechanisms and the corrective design enhancements. Simulation model to hardware measurement correlation on two designs of radiation tolerant 4 M SRAM product validates the evaluation methodology. The evaluation methodology described herein can be Universally applied to any SRAM design to ensure that the highest performance potential of the design is realized.

Carbon nanotube field-effect transistor (CNTFET) is envisioned as a promising device to overcome the limitations of traditional CMOS based MOSFETs due to its favourable physical properties. This paper presents a novel six-transistor (6T) static random access memory (SRAM) bitcell design using CNTFETs. Extensive validations and comparative analyses are carried out with the proposed SRAM design using SPICE based simulations. We show that the proposed CNTFET based SRAM has a significantly better static noise margin (SNM) and write ability margin (WAM) compared to a CNTFET-based standard 6T bitcell, equivalent to isolated read-port 8T cell based on CNTFET, while consuming less dynamic power. We further demonstrate that it exhibits higher robustness under process, voltage and temperature (PVT) variations when compared with the traditional CMOS SRAM cell designs. Furthermore, metallic CNTs removal technique is used considering metallic tolerance to make the proposed SRAM design more reliable.