Nonvolatile memristor memory: device characteristics and design implications
Proceedings of the 2009 International Conference on Computer-Aided Design
An overview of non-volatile memory technology and the implication for tools and architectures
Proceedings of the Conference on Design, Automation and Test in Europe
How We Found The Missing Memristor
IEEE Spectrum
Nonvolatile Memories as the Data Storage System for Implantable ECG Recorder
ACM Journal on Emerging Technologies in Computing Systems (JETC) - Special Issue on Implantable Electronics
Performance and energy models for memristor-based 1T1R RRAM cell
Proceedings of the great lakes symposium on VLSI
Memristor-based memory: The sneak paths problem and solutions
Microelectronics Journal
Improved memristor-based relaxation oscillator
Microelectronics Journal
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Recently, the emerging memristor device technology has attracted significant research interests due to its distinctive hysteresis characteristic, which potentially can enable novel circuit designs for future VLSI circuits. In particular, characteristics such as non-volatility, non-linearity, low power consumption, and good scalability make memristor one of the most promising emerging memory technologies. Some important design parameter, however, such as speed, energy consumption, and distingushiablility, are mainly determined by the memristor's physical characteristics. In this paper, a key observation of memristor's asymmetric energy consumption is made by the detailed analysis of the transient power consumption. Based on this observation, we propose a dual-element memory structure in which each memory cell consists of two memristors. By constantly writing complement bits into the two elements within a cell, the dual-element is flexible to satisfy design constraints which are usually difficult to be satisfied with one-cell memory structure. Design space of the dual-element memory cell is studied and it shows that the trade-offs among the energy, speed, and distingushiablility should be explored for different design objectives. In particular, we show that under the energy-driven optimization, the proposed dual-element memory achieves the same programming speed and distinguishability as conventional single-element memory but the energy consumption can be reduced by up to 80%.