Academic literature on the topic 'Non-Volatile SRAM'

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Journal articles on the topic "Non-Volatile SRAM"

1

Wang, Ming Qian, Jie Tao Diao, Nan Li, Xi Wang, and Kai Bu. "A Study on Reconfiguring On-Chip Cache with Non-Volatile Memory." Applied Mechanics and Materials 644-650 (September 2014): 3421–25. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.3421.

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NVM has become a promising technology to partly replace SRAM as on-chip cache and reduce the gap between the core and cache. To take all advantages of NVM and SRAM, we propose a Hybrid Cache, constructing on-chip cache hierarchies with different technologies. As shown in article, hybrid cache performance and power consumption of Hybrid Cache have a large advantage over caches base on single technologies. In addition, we have shown some other methods that can optimize the performance of hybrid cache.
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Mispan, Mohd Syafiq, Aiman Zakwan Jidin, Muhammad Raihaan Kamarudin, and Haslinah Mohd Nasir. "Lightweight hardware fingerprinting solution using inherent memory in off-the-shelf commodity devices." Indonesian Journal of Electrical Engineering and Computer Science 25, no. 1 (2022): 105. http://dx.doi.org/10.11591/ijeecs.v25.i1.pp105-112.

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An emerging technology known as Physical unclonable function (PUF) can provide a hardware root-of-trust in building the trusted computing system. PUF exploits the intrinsic process variations during the integrated circuit (IC) fabrication to generate a unique response. This unique response differs from one PUF to the other similar type of PUFs. Static random-access memory PUF (SRAM-PUF) is one of the memory-based PUFs in which the response is generated during the memory power-up process. Non-volatile memory (NVM) architecture like SRAM is available in off-the-shelf microcontroller devices. Exploiting the inherent SRAM as PUF could wide-spread the adoption of PUF. Therefore, in this study, we evaluate the suitability of inherent SRAM available in ATMega2560 microcontroller on Arduino platform as PUF that can provide a unique fingerprint. First, we analyze the start-up values (SUVs) of memory cells and select only the cells that show random values after the power-up process. Subsequently, we statistically analyze the characteristic of fifteen SRAM-PUFs which include uniqueness, reliability, and uniformity. Based on our findings, the SUVs of fifteen on-chip SRAMs achieve 42.64% uniqueness, 97.28% reliability, and 69.16% uniformity. Therefore, we concluded that the available SRAM in off-the-shelf commodity hardware has good quality to be used as PUF.
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Angizi, Shaahin, Navid Khoshavi, Andrew Marshall, Peter Dowben, and Deliang Fan. "MeF-RAM: A New Non-Volatile Cache Memory Based on Magneto-Electric FET." ACM Transactions on Design Automation of Electronic Systems 27, no. 2 (2022): 1–18. http://dx.doi.org/10.1145/3484222.

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Magneto-Electric FET ( MEFET ) is a recently developed post-CMOS FET, which offers intriguing characteristics for high-speed and low-power design in both logic and memory applications. In this article, we present MeF-RAM , a non-volatile cache memory design based on 2-Transistor-1-MEFET ( 2T1M ) memory bit-cell with separate read and write paths. We show that with proper co-design across MEFET device, memory cell circuit, and array architecture, MeF-RAM is a promising candidate for fast non-volatile memory ( NVM ). To evaluate its cache performance in the memory system, we, for the first time, build a device-to-architecture cross-layer evaluation framework to quantitatively analyze and benchmark the MeF-RAM design with other memory technologies, including both volatile memory (i.e., SRAM, eDRAM) and other popular non-volatile emerging memory (i.e., ReRAM, STT-MRAM, and SOT-MRAM). The experiment results for the PARSEC benchmark suite indicate that, as an L2 cache memory, MeF-RAM reduces Energy Area Latency ( EAT ) product on average by ~98% and ~70% compared with typical 6T-SRAM and 2T1R SOT-MRAM counterparts, respectively.
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4

Vijay, H. M., and V. N. Ramakrishnan. "Radiation effects on memristor-based non-volatile SRAM cells." Journal of Computational Electronics 17, no. 1 (2017): 279–87. http://dx.doi.org/10.1007/s10825-017-1080-x.

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Singh, Damyanti, Neeta Pandey, and Kirti Gupta. "Process invariant Schmitt Trigger non-volatile 13T1M SRAM cell." Microelectronics Journal 135 (May 2023): 105773. http://dx.doi.org/10.1016/j.mejo.2023.105773.

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Janniekode, Uma Maheshwar, Rajendra Prasad Somineni, Osamah Ibrahim Khalaf, Malakeh Muhyiddeen Itani, J. Chinna Babu, and Ghaida Muttashar Abdulsahib. "A Symmetric Novel 8T3R Non-Volatile SRAM Cell for Embedded Applications." Symmetry 14, no. 4 (2022): 768. http://dx.doi.org/10.3390/sym14040768.

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This paper proposes a symmetric eight transistor-three-memristor (8T3R) non-volatile static random-access memory (NVSRAM) cell. Non-volatile operation is achieved through the use of a memristor element, which stores data in the form of its resistive state and is referred to as RRAM. This cell is able to store the information after power-off mode and provides fast power-on/power-off speeds. The proposed symmetric 8T3R NVSRAM cell performs better instant-on operation compared to existing NVSRAMs at different technology nodes. The simulation results show that resistance of RAM-based 8T3R SRAM cell consumes less power in standby mode and has excellent switching performance during power on/off speed. It also has better read and write stability and significantly improves noise tolerance than the conventional asymmetrical 6T SRAM and other NVSRAM cells. The power dissipation is evaluated at different technology nodes. Hence, our proposed symmetric 8T3R NVSRAM cell is suitable to use at low power and embedded applications.
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7

Priya, G. Lakshmi, Namita Rawat, Abhishek Sanagavarapu, M. Venkatesh, and A. Andrew Roobert. "Hybrid Silicon Substrate FinFET-Metal Insulator Metal (MIM) Memristor Based Sense Amplifier Design for the Non-Volatile SRAM Cell." Micromachines 14, no. 2 (2023): 232. http://dx.doi.org/10.3390/mi14020232.

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Maintaining power consumption has become a critical hurdle in the manufacturing process as CMOS technologies continue to be downscaled. The longevity of portable gadgets is reduced as power usage increases. As a result, less-cost, high-density, less-power, and better-performance memory devices are in great demand in the electronics industry for a wide range of applications, including Internet of Things (IoT) and electronic devices like laptops and smartphones. All of the specifications for designing a non-volatile memory will benefit from the use of memristors. In addition to being non-volatile, memristive devices are also characterized by the high switching frequency, low wattage requirement, and compact size. Traditional transistors can be replaced by silicon substrate-based FinFETs, which are substantially more efficient in terms of area and power, to improve the design. As a result, the design of non-volatile SRAM cell in conjunction with silicon substrate-based FinFET and Metal Insulator Metal (MIM) based Memristor is proposed and compared to traditional SRAMs. The power consumption of the proposed hybrid design has outperformed the standard Silicon substrate FinFET design by 91.8% better. It has also been reported that the delay for the suggested design is actually quite a bit shorter, coming in at approximately 1.989 ps. The proposed architecture has been made significantly more practical for use as a low-power and high-speed memory system because of the incorporation of high-K insulation at the interface of metal regions. In addition, Monte Carlo (MC) simulations have been run for the reported 6T-SRAM designs in order to have a better understanding of the device stability.
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8

Khan, Asif. "(Invited) Ferroelectric Field-Effect Transistors as High-Density, Ultra-fast, Embedded Non-Volatile Memories." ECS Meeting Abstracts MA2022-02, no. 15 (2022): 805. http://dx.doi.org/10.1149/ma2022-0215805mtgabs.

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Ferroelectric field-effect transistors (FEFETs) are receiving significant attention from the microelectronics community for next-generation memory technologies, especially as embedded non-volatile elements for data-centric applications. The main attractive features of FEFETs are that write energy and speed of FEFETs are within an order of magnitude of respective metrics for SRAMs (FEFET ~1 fJ and 1-10 ns vs. SRAM: <1 fJ and <1 ns), all the while requiring a significantly smaller cell size (FEFET 50-60F2 vs. SRAM 120-150F2) and close-to-zero standby leakage power – provided that FEFETs are integrated at the same advanced technology nodes as SRAMs [1]. In this talk, we will discuss the potential path for FEFET toward fulfilling this vision, by addressing the outstanding technological challenges: ultra-fast read-after write, reliability, voltage scaling and variation. To that end, our recent exposition on the trap and reliability physics of FEFETs will highlighted. We will highlight, based on newly developed experimental schemes, how the simultaneous capture and emission of electrons and holes in write cycles occur at the interface and the grain boundaries in the time domain, where in the band-diagram, these traps (acceptors and donors) are located and how exactly they result in the degradation of the read speed and reliability with continued write cycling. Based on these insights, we move on show how engineering the interfacial layer and the ferroelectric grain structure can enable ultra-fast read-after write and write voltage and dramatic improvements in reliability and variation, towards achieving a high-density, ultra-high speed memory technology. This research is supported by the National Science Foundation, the Defense Advanced Research Program Agency (DARPA), the Semiconductor Research Corporation (SRC) - Global Research Collaboration (GRC) program, the Applications and Systems-Driven Center for Energy-Efficient Integrated Nano Technologies (ASCENT), one of six centers in the Joint University Microelectronics Program (JUMP), a SRC program sponsored by the DARPA, and an Intel Rising Star award. [1] Mikolajick, T., Schroeder, U. & Slesazeck, S. The past, the present, and the future of ferroelectric memories. IEEE Trans. Electron Devices 67, 1434–1443 (2020). [2] Asif Islam Khan, Ali Keshavarzi, and Suman Datta. “The future of ferroelectric field-effect transistor technology." Nature Electronics 3.10 (2020): 588-597.
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9

Pan, James N. "Atomic Force High Frequency Phonons Non-volatile Dynamic Random-Access Memory Compatible with Sub-7nm ULSI CMOS Technology." MRS Advances 4, no. 48 (2019): 2577–84. http://dx.doi.org/10.1557/adv.2019.212.

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ABSTRACTThis paper reports a novel low power, fast nonvolatile memory utilizing high frequency phonons, atomic force dual quantum wells, ferromagnetism, coupled magnetic dipoles and random accessed magnetic devices. Very high-speed memories, such as SRAM and DRAM, are mostly volatile (data are lost when power is off). Nonvolatile memories, including FLASH and MRAM, are typically not as fast has DRAM or SRAM, and the voltages for WRITE/ERASE operations are relatively high. This paper describes a silicon nonvolatile memory that is compatible with advanced sub-7nm CMOS process. It consists of only one transistor (MOSFET) – small size, and more cost effective, compared with a 6-Transistor SRAM. There is no need to refresh, as required by DRAM. The access time can be less than 1ns – close to the speed level of relaxation time - much faster than traditional FLASH memories and comparable to volatile DRAM. The operating voltages for all memory functions can be as low as high speed CMOS.
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10

P, Saleem Akram. "Non-Volatile 7T1R SRAM cell design for low voltage applications." International Journal of Emerging Trends in Engineering Research 7, no. 11 (2019): 704–7. http://dx.doi.org/10.30534/ijeter/2019/487112019.

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