High precision tuning of state for memristive devices by adaptable variation-tolerant algorithm
Reads0
Chats0
TLDR
Using memristive properties common for titanium dioxide thin film devices, this article designed a simple write algorithm to tune device conductance at a specific bias point to 1% relative accuracy within its dynamic range even in the presence of large variations in switching behavior.Abstract:
Using memristive properties common for titanium dioxide thin film devices, we designed a simple write algorithm to tune device conductance at a specific bias point to 1% relative accuracy (which is roughly equivalent to seven-bit precision) within its dynamic range even in the presence of large variations in switching behavior. The high precision state is nonvolatile and the results are likely to be sustained for nanoscale memristive devices because of the inherent filamentary nature of the resistive switching. The proposed functionality of memristive devices is especially attractive for analog computing with low precision data. As one representative example we demonstrate hybrid circuitry consisting of an integrated circuit summing amplifier and two memristive devices to perform the analog multiply-and-add (dot-product) computation, which is a typical bottleneck operation in information processing.read more
Citations
More filters
Journal ArticleDOI
Memristive devices for computing
TL;DR: The performance requirements for computing with memristive devices are examined and how the outstanding challenges could be met are examined.
Journal ArticleDOI
The future of electronics based on memristive systems
TL;DR: The state of the art in memristor-based electronics is evaluated and the future development of such devices in on-chip memory, biologically inspired computing and general-purpose in-memory computing is explored.
Journal ArticleDOI
PRIME: a novel processing-in-memory architecture for neural network computation in ReRAM-based main memory
TL;DR: This work proposes a novel PIM architecture, called PRIME, to accelerate NN applications in ReRAM based main memory, and distinguishes itself from prior work on NN acceleration, with significant performance improvement and energy saving.
Journal ArticleDOI
Synaptic electronics: materials, devices and applications
TL;DR: In this paper, the recent progress of synaptic electronics is reviewed, with a focus on the use of synaptic devices for neuromorphic or brain-inspired computing.
Journal ArticleDOI
Memristive crossbar arrays for brain-inspired computing
Qiangfei Xia,Jianhua Yang +1 more
TL;DR: The challenges in the integration and use in computation of large-scale memristive neural networks are discussed, both as accelerators for deep learning and as building blocks for spiking neural networks.
References
More filters
Journal ArticleDOI
Redox‐Based Resistive Switching Memories – Nanoionic Mechanisms, Prospects, and Challenges
Journal ArticleDOI
Nanoscale Memristor Device as Synapse in Neuromorphic Systems
TL;DR: A nanoscale silicon-based memristor device is experimentally demonstrated and it is shown that a hybrid system composed of complementary metal-oxide semiconductor neurons and Memristor synapses can support important synaptic functions such as spike timing dependent plasticity.
Journal ArticleDOI
Memristive switching mechanism for metal/oxide/metal nanodevices.
Jianhua Yang,Matthew D. Pickett,Xuema Li,Douglas A. A. Ohlberg,Duncan Stewart,R. Stanley Williams +5 more
TL;DR: Experimental evidence is provided to support this general model of memristive electrical switching in oxide systems, and micro- and nanoscale TiO2 junction devices with platinum electrodes that exhibit fast bipolar nonvolatile switching are built.
Journal ArticleDOI
Resistive switching in transition metal oxides
TL;DR: In this paper, the authors review the current status of one of the alternatives, resistance random access memory (ReRAM), which uses a resistive switching phenomenon found in transition metal oxides.
Journal ArticleDOI
Atomic structure of conducting nanofilaments in TiO2 resistive switching memory
Deok-Hwang Kwon,Kyung-min Kim,Jae Hyuck Jang,Jong Myeong Jeon,Min Hwan Lee,Gun Hwan Kim,Xiang-Shu Li,Gyeong-Su Park,Bora Lee,Seungwu Han,Miyoung Kim,Cheol Seong Hwang +11 more
TL;DR: In situ current-voltage and low-temperature conductivity measurements confirm that switching occurs by the formation and disruption of Ti(n)O(2n-1) (or so-called Magnéli phase) filaments, which will provide a foundation for unravelling the full mechanism of resistance switching in oxide thin films.