ML-HW Co-Design of Noise-Robust TinyML Models and Always-On Analog Compute-in-Memory Edge Accelerator Article

Zhou, Chuteng, Redondo, Fernando Garcia, Buchel, Julian et al. (2022). ML-HW Co-Design of Noise-Robust TinyML Models and Always-On Analog Compute-in-Memory Edge Accelerator . IEEE Micro, 42(6), 76-87. 10.1109/MM.2022.3198321

Industry Collaboration International Collaboration

cited authors

  • Zhou, Chuteng; Redondo, Fernando Garcia; Buchel, Julian; Boybat, Irem; Comas, Xavier Timoneda; Nandakumar, SR; Das, Shidhartha; Sebastian, Abu; Le Gallo, Manuel; Whatmough, Paul N

authors

publication date

  • November 1, 2022

published in

keywords

  • Computational modeling
  • Computer Science
  • Computer Science, Hardware & Architecture
  • Computer Science, Software Engineering
  • Computer architecture
  • Edge computing
  • Hardware
  • Hardware acceleration
  • Internet of Things
  • Microprocessors
  • Nonvolatile memory
  • Pulse modulation
  • Science & Technology
  • Technology

Digital Object Identifier (DOI)

publisher

  • IEEE COMPUTER SOC

start page

  • 76

end page

  • 87

volume

  • 42

issue

  • 6