Hyper Dimensional Computing with Ferroelectric Tunneling Junctions

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

  • Stefan Slesazeck - , NaMLab - Nanoelectronic materials laboratory gGmbH (Author)
  • Suzanne Lancaster - , NaMLab - Nanoelectronic materials laboratory gGmbH (Author)
  • John Reuben - , Friedrich-Alexander University Erlangen-Nürnberg (Author)
  • Shima Hosseinzadeh - , Friedrich-Alexander University Erlangen-Nürnberg (Author)
  • Dietmar Fey - , Friedrich-Alexander University Erlangen-Nürnberg (Author)
  • Thomas Mikolajick - , Chair of Nanoelectronics, NaMLab - Nanoelectronic materials laboratory gGmbH (Author)

Abstract

Hyper Dimensional Computing is a new approach in artificial intelligence (AI). The specific requirements of massive parallel readout operation during HDC inference makes the high-impedance ferroelectric tunneling junction (FTJ) devices a very interesting candidate for the hardware realization of a HDC accelerator. Therefore, we propose to research both, the technological and the architectural constraints when bringing together this two distinct concepts from the architectural and the devices perspective.

Details

Original languageEnglish
Title of host publicationProceedings of the 18th ACM International Symposium on Nanoscale Architectures, NANOARCH 2023
PublisherAssociation for Computing Machinery
ISBN (electronic)9798400703256
Publication statusPublished - 18 Dec 2023
Peer-reviewedYes

Publication series

SeriesNanoarch: IEEE/ACM International Symposium on Nanoscale Architectures

Conference

Title18th ACM International Symposium on Nanoscale Architectures
Abbreviated titleNANOARCH 2023
Conference number18
Duration18 - 20 December 2023
Website
LocationTechnische Universität Dresden
CityDresden
CountryGermany

External IDs

ORCID /0000-0003-3814-0378/work/156338404

Keywords

Keywords

  • Ferroelectric Tunneling Junction, FTJ, HDC, Hyper Dimensional Computing