Resistive Random Access Memory (rram) array is considered as a promising trend for future memory devices. At present, the integration of rram array into CMOS circuit is limited by the density and scale of the memory e...
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Resistive Random Access Memory (rram) array is considered as a promising trend for future memory devices. At present, the integration of rram array into CMOS circuit is limited by the density and scale of the memory element. In this paper, a new way to fabricate rram array with submicron meter range element size is proposed. Porous SiO2 film with large and uniform through-holes is prepared as nano template for device fabrication. Plasma oxidation is utilized to grow 100 nm titanium oxide resistive switching (RS) layer. Discrete circular RS cells with diameter of 400 nm are obtained, with a vertical structure of Ag-TiO2-Ti-Pt-Ti-SL from top to bottom. Good and uniform RS properties are acquired by conductive Atomic Force Microscope (cAFM). (C) 2016 Elsevier Ltd. All rights reserved.
The synthesis method of logic circuits based on the rram (Resistive Random Access Memory) devices is of great concern in recent years. Inspired by the CMOS-like rram based logic gates, this work proposes a NMOS-like R...
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The synthesis method of logic circuits based on the rram (Resistive Random Access Memory) devices is of great concern in recent years. Inspired by the CMOS-like rram based logic gates, this work proposes a NMOS-like rram gate family. The advantages of the proposed NMOS-like rram gates include: (1) all the gate circuits are array-implementable;(2) the gate family is logic complete;(3) the NOR, AND and NOT gates only consume single cycle respectively in the computation phase;(4) the gate circuits save half number of rram devices compared with the CMOS-like rram based counterparts. Furthermore, the synthesis method of logic circuits based on the NMOS-like rram gates is proposed and discussed. The single-cycle NMOS-like rram gates are utilized in priority under the constraints of the logic block. The features of the proposed synthesis method are: (1) it generates the high-performance logic circuits because the NMOS-like rram based gates work in parallel;(2) the logic block based on the proposed NMOS-like gates can be realized in the rram array;(3) the large-scale logic functions can be implemented by cascading the logic blocks. The in-array full-adder circuit generated by the proposed synthesis method only consumes three cycles in minimum, which outperforms the previous rram based counterpart. The synthesis results on the benchmark circuits show that the proposed synthesis method is able to generate the high-performance circuit in rram arrays for arbitrary logic functions.
The in-memory computation of logic operations is a promising paradigm that could enable the development of highly efficient computing architectures, ideal for battery-powered devices. Indeed, Resistive Random Access M...
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The in-memory computation of logic operations is a promising paradigm that could enable the development of highly efficient computing architectures, ideal for battery-powered devices. Indeed, Resistive Random Access Memory (rram) devices and the material implication logic (IMPLY) have been experimentally demonstrated to enable low-power logic-in-memory (LIM) circuits. Still, device and circuit non-idealities (e.g., the strong sensitivity to driving voltage variations) introduce several reliability challenges that must be addressed with appropriate device models. Often, general-purpose or simplified models are used in the analysis, thus resulting in questionable estimations and designs. In this work, we use a physics-based rram compact model, comprehensive of device non-idealities, to study the reliability of IMPLY-based LIM circuits. The analysis is first performed on the single IMPLY logic gate and then extended to an array implementation encompassing the effect of line parasitic resistances and node capacitances. We determine and quantitatively evaluate important metrics such as energy consumption and maximum array size, and derive appropriate design strategies aimed at improving the reliability of such circuits.
In order to study the device-to-device and cycle-to-cycle variability of switching voltages in 4-kbit rram arrays, an alternative statistical approach has been adopted by using experimental data collected from a batch...
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In order to study the device-to-device and cycle-to-cycle variability of switching voltages in 4-kbit rram arrays, an alternative statistical approach has been adopted by using experimental data collected from a batch of 128 devices switched along 200 cycles. The statistical distributions of switching voltages have been usually studied by using the Weibull distribution. However, this distribution does not work accurately on Al:HfO2-based rram devices. Therefore, an alternative approach based on phase-type distributions is proposed to model the forming, reset and set voltage distributions. Experimental results show that in general the phase-type analysis works better than the Weibull one.
rram-based in-memory-computing is a promising approach to go beyond von Neumann architecture and attributes to remarkable improvement in power efficiency and performance density. In this work, we examine our developme...
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ISBN:
(纸本)9781728109817
rram-based in-memory-computing is a promising approach to go beyond von Neumann architecture and attributes to remarkable improvement in power efficiency and performance density. In this work, we examine our developments in device optimization for high-linearity SET/RESET updating and analyze the device reliability issues. We further exhibit the experimental demonstrations for the perceptron and generative adversarial network ( GAN), showing how to combine algorithms and non-idea devices together. An end-to-end simulator was set up to evaluate the system performance ( the accuracy, latency and energy) with actual device performance. Lastly, we provide a guideline for array size optimization.
In this work, a comparison between 1T-1R rram arrays, manufactured either with amorphous or polycrystalline Metal-Insulator-Metal cells, is reported in terms of performance, reliability, Set/Reset operations energy re...
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In this work, a comparison between 1T-1R rram arrays, manufactured either with amorphous or polycrystalline Metal-Insulator-Metal cells, is reported in terms of performance, reliability, Set/Reset operations energy requirements, intra-cell and inter-cell variability during 10k endurance cycles and 100k read disturb cycles. The modeling of the 1T-1R rram array cells has been performed with two different approaches: (i) a physical model like the Quantum Point Contact (QPC) model was used to find the relationship between the reliability properties observed during the endurance and the read disturb tests with the conductive filament properties;(ii) a compact model to be exploited in circuit simulations tools which models the I-V characteristics of each memory cells technology. (C) 2016 Elsevier Ltd. All rights reserved.
The forming process, which corresponds to the activation of the switching filament in Resistive Random Access Memory (rram) arrays, has a strong impact on the cells' performances. In this paper we characterize and...
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The forming process, which corresponds to the activation of the switching filament in Resistive Random Access Memory (rram) arrays, has a strong impact on the cells' performances. In this paper we characterize and compare different pulse forming techniques in terms of forming time, yield and cell-to-cell variability on 4 kbits rram arrays. Moreover, post-forming modeling during Reset operation of correctly working and over formed cells has been performed. An incremental form and verify technique, based on a sequence of trapezoidal waveforms with increasing voltages followed by a verify operation that terminates when the expected switching behavior has been achieved, showed the best results. This procedure narrows the post-forming current distribution whereas reducing the Reset switching voltage and the operative current. These advantages materialize in a better control of the cell-to-cell variability and in an overall time and energy saving at the system level. (C) 2015 Elsevier Ltd. All rights reserved.
rram-based memory is a promising emerging technology for both on-chip and stand-alone non-volatile data storage in advanced technologies. In addition to its small dimensions, the rram device has many technological adv...
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ISBN:
(纸本)9781450342742
rram-based memory is a promising emerging technology for both on-chip and stand-alone non-volatile data storage in advanced technologies. In addition to its small dimensions, the rram device has many technological advantages including its low-programming voltages, high speed, low power, CMOS-compatible fabrication process, and potentially monolithic 3D integration. However, one of the critical challenges for rram technology is the reliability concerns due to retention and endurance failures. In this paper, we propose a novel Refresh circuit for 1T1R rram array which detects and distinguishes soft and hard errors from retention and endurance failures, as well as corrects the soft errors through refreshing. Using the HfO2/Hf rram array, our simulation results show that the proposed solution increases the resilience to soft-error of an 8Gb rram-based memory by 80% with a small penalty on the energy and delay of the Read operations (6% and 0.4% respectively). The proposed methodology can be used for other rram arrays with minor modifications to the design parameters depending on the characteristics of rram cell.
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