A 75kb SRAM in 65nm CMOS for In-Memory Computing Based Neuromorphic Image Denoising

Autor:	Bose, Sumon Kumar, Mohan, Vivek, Basu, Arindam
Rok vydání:	2020
Předmět:	Electrical Engineering and Systems Science - Image and Video Processing Computer Science - Hardware Architecture Electrical Engineering and Systems Science - Signal Processing
Druh dokumentu:	Working Paper
Popis:	This paper presents an in-memory computing (IMC) architecture for image denoising. The proposed SRAM based in-memory processing framework works in tandem with approximate computing on a binary image generated from neuromorphic vision sensors. Implemented in TSMC 65nm process, the proposed architecture enables approximately 2000X energy savings (approximately 222X from IMC) compared to a digital implementation when tested with the video recordings from a DAVIS sensor and achieves a peak throughput of 1.25-1.66 frames/us. Comment: 8 pages
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2003.10300 Zobrazit plný text záznamu View this record from Arxiv