Energy-efficient near-sensor convolution using pulsed unary processing

M. Hassan Najafi, S. Rasoul Faraji, Kia Bazargan, David J Lilja

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

1 Scopus citations

Abstract

Near-sensor convolution engines have many applications in Internet-of-Things. Pulsed unary processing has been recently proposed for high-performance and energy-efficient processing of data using simple digital logic. In this work, we propose a low-cost, high-performance, and energy-efficient near-sensor convolution engine based on pulsed unary processing.

Original languageEnglish (US)
Title of host publicationProceedings - 2019 IEEE 30th International Conference on Application-Specific Systems, Architectures and Processors, ASAP 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages1
ISBN (Electronic)9781728116013
DOIs
StatePublished - Jul 2019
Event30th IEEE International Conference on Application-Specific Systems, Architectures and Processors, ASAP 2019 - New York, United States
Duration: Jul 15 2019Jul 17 2019

Publication series

NameProceedings of the International Conference on Application-Specific Systems, Architectures and Processors
Volume2019-July
ISSN (Print)1063-6862

Conference

Conference30th IEEE International Conference on Application-Specific Systems, Architectures and Processors, ASAP 2019
CountryUnited States
CityNew York
Period7/15/197/17/19

    Fingerprint

Keywords

  • Convolution engine
  • Energy efficient design
  • Near sensor processing
  • Time based encoding
  • Unary processing

Cite this

Hassan Najafi, M., Rasoul Faraji, S., Bazargan, K., & Lilja, D. J. (2019). Energy-efficient near-sensor convolution using pulsed unary processing. In Proceedings - 2019 IEEE 30th International Conference on Application-Specific Systems, Architectures and Processors, ASAP 2019 [8825135] (Proceedings of the International Conference on Application-Specific Systems, Architectures and Processors; Vol. 2019-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASAP.2019.00-37