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Memistor

About: Memistor is a research topic. Over the lifetime, 608 publications have been published within this topic receiving 34905 citations.


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Proceedings ArticleDOI
15 May 2012
TL;DR: An RRAM simulator that runs on a single GPU that is up to 50 times faster than a CPU version and can simulate more than one hundred million memristor models.
Abstract: Memristive devices have gained significant research attention lately because of their unique properties and wide application spectrum. In particular, memristor-based resistive random access memory (RRAM) offers the high density, low power, and low volatility required for next-generation nonvolatile memory. Nowadays, despite significant advances in hardware technology, in the case of massively parallel systems still new computational architectures are required. Simulation of large quantity of memristors in the crossbar structure is a known challenge encountering these barriers. Using graphic processing units (GPU) as a low-cost and high-performance computing platform is an efficient preferred approach to this problem. In this paper, we demonstrate an RRAM simulator that runs on a single GPU. The GPU-RRAM model (running on an NVIDIA GT325M with 1GB of memory) is up to 50 times faster than a CPU version. Besides a limitation on simulation of the memristor in the crossbar structure has been seen when more than 10 thousand of them are simulated but GPU can simulate more than one hundred million ones.

3 citations

Proceedings ArticleDOI
01 Oct 2015
TL;DR: The studies show that the unique power characteristic of memristor based SIMON may add extra challenges for extraction of the secret key from the cipher as it introduces 94% power deviation while power sampling.
Abstract: The fourth fundamental circuit element, memristor, attracts increasing attention because of its memory characteristic. The special memory behavior of the memristor has been exploited to design control systems, memory arrays, logic gate, and security primitives in previous work. However, the power characteristics of the memristor have not been widely studied yet. In this work, we used a memristor model that is suitable for circuit simulation to investigate the power characteristics of the memristor itself and memristor-based logic gates. Our simulation results indicate that memristor has different power characteristic compared with CMOS devices. The peak power of memristor-based gates does not monotonically increases with input voltage amplitude; instead, the combination of input period length and voltage amplitude determines the occurrence of power peak. The reason is that the power consumption of memristors depends on the effective memristor width, which is controlled by the input. We further examine the feasibility of utilizing memristors to implement a new block cipher, SIMON. Our studies show that the unique power characteristic of memristor based SIMON may add extra challenges for extraction of the secret key from the cipher as it introduces 94% power deviation while power sampling.

3 citations

Proceedings ArticleDOI
12 Mar 2012
TL;DR: The memristor is a new nano-electronic device very promising for emerging technologies that being essentially resistors with memory are able to perform logic operations as well as storage of information.
Abstract: The memristor is a new nano-electronic device very promising for emerging technologies. Although 40 years ago Leon Chua has postulated this circuit element, only the invention of the crossbar latch by the HP group of Stanley Williams provided the first nanoelectronic realization of such a device in 2008. Thus it has been shown that the ideal circuit elements (R,C,L) were not sufficient to model basic real-world circuits. Memristors being essentially resistors with memory are able to perform logic operations as well as storage of information. Recently, it has been announced that “Williams expects to see memristors used in computer memory chips within the next few years. HP Labs already has a production-ready architecture for such a chip” (http://www.hpl.hp.com/news/2010/apr-jun/memristor.html). Memristors are outstanding candidates for future analog, digital, and mixed signal circuits.

3 citations

Proceedings ArticleDOI
01 Dec 2016
TL;DR: In this paper, the first mathematical memristor modeling in C++ was presented and the implementation and training of a single layer and multilayer neural network using C++ memristors was presented.
Abstract: Memristor emerged as an auspicious device in the field of neuromorphic engineering due to its nanoscale size, non-volatility, scalability, fast switching, low power consumption, high density and compatability with CMOS technology. This paper unveils the first mathematical memristor modeling in C ++. We also represent the implementation and training of a single layer and multilayer neural network using C++ memristor model. The memristive crossbar structure has been utilized to train the network. We successfully demonstrated linear and non-linear seperable logic functions using C++ memristor modeling in the simulation of neural network. We also demonstrated pattern classifier using single layer neural network at two different learning rates and the network performs satisfactorily at both the learning rates.

3 citations

Journal ArticleDOI
TL;DR: Fractional-order memristor calculus has the characteristics of non-locality, weak singularity and long term memory which traditional integer-order calculus does not have, and can accurately portray or model real-world problems better than the classic integer order calculus as discussed by the authors .
Abstract: The memristor is also a basic electronic component, just like resistors, capacitors and inductors. It is a nonlinear device with memory characteristics. In 2008, with HP’s announcement of the discovery of the TiO2 memristor, the new memristor system, memory capacitor (memcapacitor) and memory inductor (meminductor) were derived. Fractional-order calculus has the characteristics of non-locality, weak singularity and long term memory which traditional integer-order calculus does not have, and can accurately portray or model real-world problems better than the classic integer-order calculus. In recent years, researchers have extended the modeling method of memristor by fractional calculus, and proposed the fractional-order memristor, but its concept is not unified. This paper reviews the existing memristive elements, including integer-order memristor systems and fractional-order memristor systems. We analyze their similarities and differences, give the derivation process, circuit schematic diagrams, and an outlook on the development direction of fractional-order memristive elements.

3 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202328
202277
20212
20201
20191
201815