تقرير
A tunable and versatile 28nm FD-SOI crossbar output circuit for low power analog SNN inference with eNVM synapses
| العنوان: | A tunable and versatile 28nm FD-SOI crossbar output circuit for low power analog SNN inference with eNVM synapses |
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| المؤلفون: | Palhares, Joao Henrique Quintino, Beilliard, Yann, Sandrini, Jury, Arnaud, Franck, Garello, Kevin, Prenat, Guillaume, Anghel, Lorena, Alibart, Fabien, Drouin, Dominique, Galy, Philippe |
| سنة النشر: | 2023 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Electrical Engineering and Systems Science - Systems and Control, Computer Science - Emerging Technologies |
| الوصف: | In this work we report a study and a co-design methodology of an analog SNN crossbar output circuit designed in a 28nm FD-SOI technology node that comprises a tunable current attenuator and a leak-integrate and fire neurons that would enable the integration of emerging non-volatile memories (eNVMs) for synaptic arrays based on various technologies including phase change (PCRAM), oxide-based (OxRAM), spin transfer and spin orbit torque magnetic memories (STT, SOT-MRAM). Circuit SPICE simulation results and eNVM experimental data are used to showcase and estimate the neurons fan-in for each type of eNVM considering the technology constraints and design trade-offs that set its limits such as membrane capacitance and supply voltage, etc. Comment: 7 pages, 6 figures |
| نوع الوثيقة: | Working Paper |
| الوصول الحر: | http://arxiv.org/abs/2305.16187Test |
| رقم الانضمام: | edsarx.2305.16187 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |