تقرير
Special Session: Neuromorphic hardware design and reliability from traditional CMOS to emerging technologies
| العنوان: | Special Session: Neuromorphic hardware design and reliability from traditional CMOS to emerging technologies |
|---|---|
| المؤلفون: | Pavanello, Fabio, Vatajelu, Elena Ioana, Bosio, Alberto, Van Vaerenbergh, Thomas, Bienstman, Peter, Charbonnier, Benoit, Carpegna, Alessio, Di Carlo, Stefano, Savino, Alessandro |
| المصدر: | 2023 IEEE 41st VLSI Test Symposium (VTS) |
| سنة النشر: | 2023 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Emerging Technologies, Electrical Engineering and Systems Science - Signal Processing |
| الوصف: | The field of neuromorphic computing has been rapidly evolving in recent years, with an increasing focus on hardware design and reliability. This special session paper provides an overview of the recent developments in neuromorphic computing, focusing on hardware design and reliability. We first review the traditional CMOS-based approaches to neuromorphic hardware design and identify the challenges related to scalability, latency, and power consumption. We then investigate alternative approaches based on emerging technologies, specifically integrated photonics approaches within the NEUROPULS project. Finally, we examine the impact of device variability and aging on the reliability of neuromorphic hardware and present techniques for mitigating these effects. This review is intended to serve as a valuable resource for researchers and practitioners in neuromorphic computing. Comment: 10 pages, 4 figures, 4 tables |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1109/VTS56346.2023.10139932 |
| URL الوصول: | http://arxiv.org/abs/2305.01818 |
| رقم الأكسشن: | edsarx.2305.01818 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1109/VTS56346.2023.10139932 |
|---|