Cases for analog mixed signal computing integrated circuits for deep neural networks

Mingoo Seok, Minhao Yang, Zhewei Jiang, Aurel A. Lazar, Jae Sun Seo

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

Abstract

Computing technology has been a backbone of our society. Its importance is hard to overemphasize. Today, we again confirm its extreme importance with recent advances in deep neural networks. Those emerging workloads impose an unprecedented amount of arithmetic complexity and data access beyond our existing computing systems can barely handle. Particularly, mobile and embedded computing systems will face a major challenge in achieving energy-efficient computing for truly enabling intelligent systems. In this talk, we will discuss the emerging analog and mixed-signal circuit techniques to improve energy efficiency. We will discuss two recent cases using such techniques, one on the speech recognition processor in hybrid analog and digital circuits and the other on the embedded SRAM circuits that support analog-mixed-signal in-memory (in-bitcell) computing for convolutional and deep neural networks.

Original languageEnglish (US)
Title of host publication2019 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728106557
DOIs
StatePublished - Apr 2019
Event2019 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2019 - Hsinchu, Taiwan, Province of China
Duration: Apr 22 2019Apr 25 2019

Publication series

Name2019 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2019

Conference

Conference2019 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2019
CountryTaiwan, Province of China
CityHsinchu
Period4/22/194/25/19

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Instrumentation
  • Computer Networks and Communications
  • Hardware and Architecture

Cite this

Seok, M., Yang, M., Jiang, Z., Lazar, A. A., & Seo, J. S. (2019). Cases for analog mixed signal computing integrated circuits for deep neural networks. In 2019 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2019 [8742044] (2019 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VLSI-DAT.2019.8742044