Work-in-Progress: A Processing-in-Pixel Accelerator based on Multi-level HfOxReRAM

Minhaz Abedin, Arman Roohi, Nathaniel Cady, Shaahin Angizi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings - 2022 International Conference on Compilers, Architecture, and Synthesis for Embedded Systems, CASES 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages37-38
Number of pages2
ISBN (Electronic)9781665472968
DOIs
StatePublished - 2022
Event2022 International Conference on Compilers, Architecture, and Synthesis for Embedded Systems, CASES 2022 - Shanghai, China
Duration: Oct 7 2022Oct 14 2022

Publication series

NameProceedings - 2022 International Conference on Compilers, Architecture, and Synthesis for Embedded Systems, CASES 2022

Conference

Conference2022 International Conference on Compilers, Architecture, and Synthesis for Embedded Systems, CASES 2022
Country/TerritoryChina
CityShanghai
Period10/7/2210/14/22

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture

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