Integrated Sensing and Computing using Energy-Efficient Magnetic Synapses
Document Type
Conference Proceeding
Publication Date
1-1-2022
Abstract
This work presents a processing-in-sensor platform leveraging magnetic devices as a flexible and efficient solution for real-time and smart image processing in AI devices. The main idea is to combine the typical sensing mechanism with an intrinsic coarse-grained convolution operation at the edge to remarkably reduce the power consumption of data conversion and transmission to an off-chip processor imposed by the first layer of deep neural networks. Our initial results demonstrate acceptable accuracy on the SVHN image data-set, while the proposed platform substantially reduces data conversion and transmission energy compared with a baseline sensor-CPU platform.
Identifier
85133753121 (Scopus)
ISBN
[9781665494663]
Publication Title
Proceedings International Symposium on Quality Electronic Design Isqed
External Full Text Location
https://doi.org/10.1109/ISQED54688.2022.9806293
e-ISSN
19483295
ISSN
19483287
Volume
2022-April
Recommended Citation
Angizi, Shaahin and Roohi, Arman, "Integrated Sensing and Computing using Energy-Efficient Magnetic Synapses" (2022). Faculty Publications. 3442.
https://digitalcommons.njit.edu/fac_pubs/3442
