High speed, low offset, low power differential comparator with constant common mode voltage

Nasrollahpour, Mehdi; Hamedi-Hagh, Sotoudeh

doi:10.1109/asicon.2017.8252615

Cited by 5 publications

(1 citation statement)

References 13 publications

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“…However, the bulk input design causes a leakage current to the predecessor stage. In addition, the design in [59] has approximately ten times longer delay while [60] requires a large area due to the use of resistors.…”

Section: Discussionmentioning

confidence: 99%

Toward Designing Thermally-Aware Memristance Decoder

Bunnam

Soltan

Sokolov

et al. 2019

IEEE Trans. Circuits Syst. I

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Memristors are intensively proposed in many applications, such as biosensors and machine learning. Regarding their analog characteristics, memristance decoder is, therefore, an essential part for every memristor-based system. As memristor is a temperature sensitive device, this work proposes a memristance decoder circuit with self-temperature calibration. Its main building block is a comparator which is based on current mode circuit to achieve high performance at low power. The design provides configurable precision based on the available energy and supports both synchronous and asynchronous schemes. Moreover, the VTEAM model is modified to include the temperature effect on the memristance in the analysis. The simulation results, based on UMC 65nm low-leakage CMOS technology, show the following comparator's characteristics: 1.70% maximum offset, 2.91ns worst case latency, 343M Hz maximum frequency and 48.79f J maximum energy per comparison. Monte Carlo simulation shows the metastable state in determining the memristor value. This can be solved by extending the clock period or applying a metastability resolver. The proposed memristor model reveals that memristance at high resistive state degrades quadratically with the rise of the temperature and at 85°C nearly reaches the memristance of low resistive state. The possibility of decoding error due to the temperature effect is demonstrated via simulations.

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Section: Discussionmentioning

confidence: 99%