On Reconfiguring Memory-Centric AI Edge Devices for CIM

Hung Ming Chen, Cheng En Ni, Kang Yu Chang, Tzu Chieh Chiang, Shih Han Chang, Cheng Yu Chiang, Bo Cheng Lai, Chien Nan Liu, Shyh Jye Jou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In this paper, we continue our prior efforts on the fast generation of memory-centric Al edge devices with compute-in-memory (CIM) technology. From data mapping to design verification and layout automation, the proposed EDA solutions can help improve the design efficiency to reconfigure the devices for specific applications such as mobile net and keyword spotting.

Original languageEnglish
Title of host publicationProceedings - International SoC Design Conference 2021, ISOCC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages262-263
Number of pages2
ISBN (Electronic)9781665401746
DOIs
StatePublished - 2021
Event18th International System-on-Chip Design Conference, ISOCC 2021 - Jeju Island, Korea, Republic of
Duration: 6 Oct 20219 Oct 2021

Publication series

NameProceedings - International SoC Design Conference 2021, ISOCC 2021

Conference

Conference18th International System-on-Chip Design Conference, ISOCC 2021
Country/TerritoryKorea, Republic of
CityJeju Island
Period6/10/219/10/21

Keywords

  • AI edge device synthesis
  • Compute-In-Memory (CIM)
  • Reconfigurability

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