Custom Sub-Systems and Circuits for Deep Learning: Guest Editorial Overview

Chia Yu Chen, Boris Murmann, Jae Sun Seo, Hoi Jun Yoo

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


This survey paper summarizes recent progress of deep learning circuits and systems technologies and contains four topics: hardware-centric deep learning algorithms, digital architectures, analog architectures, and system demonstrations. We present an overview of these four areas and introduce key contributions of papers in this special issue.

Original languageEnglish (US)
Article number8720273
Pages (from-to)247-252
Number of pages6
JournalIEEE Journal on Emerging and Selected Topics in Circuits and Systems
Issue number2
StatePublished - Jun 2019


  • Deep learning
  • accelerators
  • approximate computing
  • computer architectures
  • data-flow architectures
  • distributed learning
  • in-memory computing
  • integrated circuit designs
  • machine learning
  • neural network hardware
  • reduced-precision

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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