Harnessing emerging technology for compute-in-memory support

Nicholas Jao, Akshay Krishna Ramanathan, Srivatsa Srinivasa, Sumitha George, John Sampson, Vijaykrishnan Narayanan

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

3 Scopus citations

Abstract

Compute-in-Memory (CiM) techniques focus on reducing data movement by integrating compute elements within or near the memory primitives. While there have been decades of research on various aspects of such logic and memory integration, the confluence of new technology changes and emerging workloads makes us revisit this design space. This work focuses on new functionality that can be embedded to SRAMs using emerging monolithic 3D integration. Properties of the new technology transform the costs of embedding such new functionality compared to prior efforts. This work also explores how compute functionality can be embedded into cross-point style non-volatile memory systems.

Original languageEnglish (US)
Title of host publicationProceedings - 2018 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2018
PublisherIEEE Computer Society
Pages447-452
Number of pages6
ISBN (Print)9781538670996
DOIs
StatePublished - Aug 7 2018
Event17th IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2018 - Hong Kong, Hong Kong
Duration: Jul 9 2018Jul 11 2018

Publication series

NameProceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI
Volume2018-July
ISSN (Print)2159-3469
ISSN (Electronic)2159-3477

Other

Other17th IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2018
CountryHong Kong
CityHong Kong
Period7/9/187/11/18

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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