Power Efficient Current-Mode SAR ADC for Memristor Readout in 28 nm CMOS

This paper introduces a current-mode Successive-Approximation Register Analog-to-Digital Converter (SAR ADC) for the current readout in a memristor based vector-matrix multiplication for computing-in-memory. The proposed method employs direct current measurement scheme using an open-loop transimpedance input stage. As the types and resistance values of the memristors change, so does the output current of the array, along with the voltage range, especially with multilevel signal processing. Therefore, we propose an ADC where the dynamic range can be tuned between 0.4 and 1.28mA while consuming 1 to 2.73 m W of power. While the memristor array operate at a 1.8 V power supply for SET and RESET operation, the ADC can be implemented using a 0.9 V power supply as we employs a voltage-regulation loop that can work with less than 0.8 V voltage during current readout mode. This enables the ADC to be implemented using core CMOS devices, reducing power and area consumption. The ADC features 6 bit resolution and is implemented in a 28 nm CMOS bulk technology. It can achieve a data-conversion rate of up to 50 MSps.

Authors

Publication Details

Published
2024-11-18
DOI
https://doi.org/10.1109/icecs61496.2024.10848856
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Power Efficient Current-Mode SAR ADC for Memristor Readout in 28 nm CMOS

Sabitha Kusuma, K. Winterberg, Stefan van Waasen, Anugerah Firdauzi et al.
Advanced Memory and Neural Computing
article

Power Efficient Current-Mode SAR ADC for Memristor Readout in 28 nm CMOS

Sabitha Kusuma, K. Winterberg, Stefan van Waasen, Anugerah Firdauzi, Arun Ashok, Christian Grewing, André Zambanini
article en

Abstract

This paper introduces a current-mode Successive-Approximation Register Analog-to-Digital Converter (SAR ADC) for the current readout in a memristor based vector-matrix multiplication for computing-in-memory. The proposed method employs direct current measurement scheme using an open-loop transimpedance input stage. As the types and resistance values of the memristors change, so does the output current of the array, along with the voltage range, especially with multilevel signal processing. Therefore, we propose an ADC where the dynamic range can be tuned between 0.4 and 1.28mA while consuming 1 to 2.73 m W of power. While the memristor array operate at a 1.8 V power supply for SET and RESET operation, the ADC can be implemented using a 0.9 V power supply as we employs a voltage-regulation loop that can work with less than 0.8 V voltage during current readout mode. This enables the ADC to be implemented using core CMOS devices, reducing power and area consumption. The ADC features 6 bit resolution and is implemented in a 28 nm CMOS bulk technology. It can achieve a data-conversion rate of up to 50 MSps.

Affordable and clean energy
Openalex Percentile: Top 76%
Advanced Memory and Neural Computing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.