Abstract

The massive amounts of data generated by camera sensors motivate data processing inside pixel arrays, i.e., at the extreme-edge. Several critical developments have fueled recent interest in the processing-in-pixel-in-memory paradigm for a wide range of visual machine intelligence tasks, including (1) advances in 3D integration technology to enable complex processing inside each pixel in a 3D integrated manner while maintaining pixel density, (2) analog processing circuit techniques for massively parallel low-energy in-pixel computations, and (3) algorithmic techniques to mitigate non-idealities associated with analog processing through hardware-aware training schemes. This article presents a comprehensive technology-circuit-algorithm landscape that connects technology capabilities, circuit design strategies, and algorithmic optimizations to power, performance, area, bandwidth reduction, and application …

Metadata

publication

Proceedings of the Great Lakes Symposium on VLSI 2023, 613-618, 2023

year

2023

publication date

2023/6/5

authors

Md Abdullah-Al Kaiser, Gourav Datta, Sreetama Sarkar, Souvik Kundu, Zihan Yin, Manas Garg, Ajey P Jacob, Peter A Beerel, Akhilesh R Jaiswal

link

https://dl.acm.org/doi/abs/10.1145/3583781.3590235

resource_link

https://dl.acm.org/doi/pdf/10.1145/3583781.3590235

book

Proceedings of the Great Lakes Symposium on VLSI 2023

pages

613-618