Work-in-Progress: A Processing-in-Pixel Accelerator based on Multi-level HfOxReRAM
Document Type
Conference Proceeding
Publication Date
1-1-2022
Abstract
This work paves the way to realize a processing-in-pixel accelerator based on a multi-level HfOx ReRAM as a flexible, energy-efficient, and high-performance solution for real-time and smart image processing at edge devices. The proposed design intrinsically implements and supports a coarse-grained convolution operation in low-bit-width neural networks leveraging a novel compute-pixel with non-volatile weight storage at the sensor side. Our evaluations show that such a design can remarkably reduce the power consumption of data conversion and transmission to an off-chip processor maintaining accuracy compared with the recent in-sensor computing designs.
Identifier
85142339524 (Scopus)
ISBN
[9781665472968]
Publication Title
Proceedings 2022 International Conference on Compilers Architecture and Synthesis for Embedded Systems Cases 2022
External Full Text Location
https://doi.org/10.1109/CASES55004.2022.00025
First Page
37
Last Page
38
Recommended Citation
Abedin, Minhaz; Roohi, Arman; Cady, Nathaniel; and Angizi, Shaahin, "Work-in-Progress: A Processing-in-Pixel Accelerator based on Multi-level HfOxReRAM" (2022). Faculty Publications. 3497.
https://digitalcommons.njit.edu/fac_pubs/3497