H2020Индивидуална стипендия2020–2022

SHADE · Spin Hall-Based Analog to Digital Encoder for Ultra-Compact Sensor Nodes

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2020-08-01 → 2022-07-31
Финансиране от ЕС: 207 312 €
Участници: 1
Схема: MSCA-IF

Линиите свързват координатора с партньорите.

Накратко на български

Нови преобразуватели на данни, базирани на спинтроника, се разработват за замяна на стандартните електронни схеми. Те помагат за създаването на по-компактни и енергоспестяващи сензори за интернет на нещата и невронни мрежи.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Spin Hall-Based Analog to Digital Encoder for Ultra-Compact Sensor Nodes

Analog to digital converter (ADC)S that translate analog data to digital data play a crucial role in most computational systems. With emerging new applications such as deep learning (DL), the internet of things (IoT), and computing in memory (CiM), the need for compact and low-power ADC is increasing. Conventional ADCs like other analog circuits suffer from the difficulty of scaling because of the large process variation and low supply voltage. According to the recent roadmap prediction of ADC reports that the ADC performance shows no obvious improvement in the resolution, area, and power consumption in the next 10 years using the current technology. One promising solution can be moving from conventional complementary metal-oxide-semiconductor (CMOS) technology to new hybrid technologies. To this end, new technologies such as spintronics, which are compatible with complementary metal-oxide-semiconductor (CMOS) technology can be strongly considered. The overall aim of (10.1109/TED.2022.3142649), [1], was to implement ADCs based on the SH-MTJ in order to improve the compactness and power consumption of the current ADCs. In(10.1088/1361-6641/ac419c), the proof-of-concept of the implementation of the proposed quantizer in(10.1109/TED.2022.314264) as a synapse in neuromorphic computing has been investigated. Because the proposed multi-state SOT synapse can solve the state-limited issue of spin-based synapses. [1] H. Ghanatian et al, “A Hybrid Spin-CMOS Flash ADC based on Spin Hall Effect and Spin Transfer Torque, ” accepted in 40th IEEE International Conference on Computer Design (ICCD). [2]H. Ghanatian et al“Spin-CMOS Flash ADC based on spin-orbit-torque,” Scientific Reports.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Low-power and compact analog-to-digital converter (ADC) is essential for sensor nodes as a link between the sensor and data processing. In restricted-area and high-speed sensors such as image sensors, each pixel needs a compact ADC for parallel data conversion. CMOS implementations of such ADCs have faced three challenges: 1) the difficulty of integrating ADCs with sensors in every pixel due to the large area of analog circuits exacerbated by poor scaling of analog circuits in CMOS, 2) the high static power of analog data converters, 3) limited resolution of CMOS ADC directly related to the process variations. Enormous effort has been devoted to addressing the challenges in such ADCs. Different types of ADCs from single-slope to delta-sigma have been investigated to achieve this, however, they are still far from the required area, resolution and power-density of the sensors. SHADE proposes a novel breakthrough approach benefiting from the small footprint of spintronics into the current ADC architectures. This has solutions for both voltage- and time-mode ADCs. SHADE will lead to at least three orders of magnitude smaller area in comparison with the state-of-the-art ADCs. The voltage-mode approach eliminates the memory array interfacing between the ADC and processor leading to a significant power-saving. SHADE is a major step towards filling the huge gap between the area of ADCs and the available pitch of pixels. The main objectives of this project are to characterize and model the behavior of the magnetic element containing both switching and oscillation features, design and simulation of both voltage- and time-mode quantizers through a developed model, adapting the quantizer with different types of ADCs usually used in sensors and fabrication and testing of ADCs. My experience in device modeling, integrated circuit design and spintronics together with expertise in the host and the secondment have put me in a unique position to run such a promising project.

Оригинален текст от CORDIS (на английски).

Участници

AARHUS UNIVERSITET · Aarhus CКоординаторДания