Skip to main content
King Abdullah University of Science and Technology
Bio-Ontology Research Group
Bio-Ontology Research Group

Main navigation

  • Home
  • People
    • All Profiles
    • Principal Investigators
    • Research Scientists
    • Research Staff
    • Postdoctoral Fellows
    • Students
    • Former Members
  • Events
    • All Events
    • Events Calendar
  • News
  • Research
  • Teaching
  • Publications
  • Join Us
  • Media

FFT

An Ultra-Area-Efficient 1024-Point In-Memory FFT Processor

1 min read · Fri, Apr 26 2019

News

FFT Circuits

Hasan E. Yantir, et al., "An Ultra-Area-Efficient 1024-Point In-Memory FFT Processor", Micromachines, 10 (8), 2019, 509. Current computation architectures rely on more processor-centric design principles. On the other hand, the inevitable increase in the amount of data that applications need forces researchers to design novel processor architectures that are more data-centric. By following this principle, this study proposes an area-efficient Fast Fourier Transform (FFT) processor through in-memory computing. The proposed architecture occupies the smallest footprint of around 0.1 mm2 inside

Bio-Ontology Research Group (BORG)

External presence: ORCID · Google Scholar · KAUST Pure · KAUST Repository · GitHub · X (@leechuck) · Mastodon · Bluesky

Footer

  • A-Z Directory
    • All Content
    • Browse Related Sites
  • Site Management
    • Log in

© 2025 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice

Disclaimer: The views and opinions expressed in this page are strictly those of the page author. The contents of this page have not been reviewed or approved by the King Abdullah University of Science and Technology.