A Switched Capacitor Memristor Emulator Using Stochastic Computing

Benito, Carol de; Camps, Oscar; Chawa, Mohamad Moner Al; Stavrinides, Stavros G.; Picos, R.

doi:10.3390/technologies10020039

Cited by 4 publications

(4 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A model for PCM was proposed in [39] and in [40] or [43], where the authors proposed semi-empirical models for ReRAMs, considered to behave as memristors, and in [55,56], where a Monte Carlo model for ReRAMs was presented. A delay model for memristive crossbars was derived in [57] utilizing a fluxcharge definition. Finally, in [58], light bulbs based on incandescent filaments were shown to be generic memristors, while in [59,60], an experimental characterization of a memristive system was performed by using the flux-charge notation, and they present a discussion of the influence of the waveform's frequency and shape.…”

Section: Memristor Modelling Frameworkmentioning

confidence: 99%

Empirical Characterization of ReRAM Devices Using Memory Maps and a Dynamic Route Map

et al. 2022

View full text Add to dashboard Cite

Memristors were proposed in the early 1970s by Leon Chua as a new electrical element linking charge to flux. Since that first introduction, these devices have positioned themselves to be considered as possible fundamental ones for the generations of electronic devices to come. In this paper, we propose a new way to investigate the effects of the electrical variables on the memristance of a device, and we successfully apply this technique to model the behavior of a TiN/Ti/HfO2/W ReRAM structure. To do so, we initially apply the Dynamic Route Map technique in the general case to obtain an approximation to the differential equation that determines the behaviour of the device. This is performed by choosing a variable of interest and observing the evolution of its own temporal derivative versus both its value and the applied voltage. Then, according to this technique, it is possible to obtain an approach to the governing equations with no need to make any assumption about the underlying physical mechanisms, by fitting a function to this. We have used a polynomial function, which allows accurate reproduction of the observed electrical behavior of the measured devices, by integrating the resulting differential equation system.

show abstract

Section: Memristor Modelling Frameworkmentioning

confidence: 99%

Empirical Characterization of ReRAM Devices Using Memory Maps and a Dynamic Route Map

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Consequently, digital emulators also attract many researchers due to their small area, hardware flexibility, reconfigurability, and ease of programming and control. [13][14][15][16][17][18] In Vijay Ramakrishnan, 14 a double-gated memristor model is presented, and its applications in analog, digital, and neuromorphic circuits are discussed. Camps et al 15 present a purely digital memristor emulator based on a flux-charge model and implemented in a commercial FPGA.…”

Section: Introductionmentioning

confidence: 99%

“…However, the high power consumption and large area of the analog memristor emulator make it unsuitable for large‐scale memristor integration scenarios. Consequently, digital emulators also attract many researchers due to their small area, hardware flexibility, reconfigurability, and ease of programming and control 13–18 . In Vijay Ramakrishnan, 14 a double‐gated memristor model is presented, and its applications in analog, digital, and neuromorphic circuits are discussed.…”

Section: Introductionmentioning

confidence: 99%

A gate‐tunable memristor emulator for motion detection

Zhang,

Ma,

Shi

et al. 2023

Circuit Theory & Apps

View full text Add to dashboard Cite

SummaryWith its low power consumption and small size, the memristor has shown great potential for improving data storage density and computing efficiency. Compared to the dual‐port memristor, greater attention should be paid to researching gate‐tunable memristor for image processing to improve the processing speed and reduce hardware resource consumption. Developing gate‐tunable memristor emulators is highly attractive given the immaturity of current fabrication of the gate‐tunable memristor. This work proposes a digital gate‐tunable memristor emulator based on Raspberry Pi, which addresses the non‐reconfigurability and inflexibility issues of the analog emulators. The proposed emulator can match the behavior of different memristor devices by regulating the gate voltage parameter. Additionally, it can operate at a maximum frequency of 500 MHz. To test the functionality of the proposed emulator, a digital implementation of the memristive circuit for motion detection is designed and verified experimentally. Experiments demonstrate that when moving object detection is performed on a 640 × 350 pixel video stream, low power consumption of 53 mW and a delay of 3.52 μs can be achieved.

show abstract

“…In [1], the authors present a circuit able to emulate a memristive system using switched capacitors as the variable resistance and implementing the model of the memristor using stochastic computing.…”

mentioning

confidence: 99%