DANCE: Differentiable Accelerator/Network Co-Exploration

Kanghyun Choi, Deokki Hong, Hojae Yoon, Joonsang Yu, Youngsok Kim, Jinho Lee

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

7 Citations (Scopus)


This work presents DANCE, a differentiable approach towards the co-exploration of hardware accelerator and network architecture design. At the heart of DANCE is a differentiable evaluator network. By modeling the hardware evaluation software with a neural network, the relation between the accelerator design and the hardware metrics becomes differentiable, allowing the search to be performed with backpropagation. Compared to the naive existing approaches, our method performs co-exploration in a significantly shorter time, while achieving superior accuracy and hardware cost metrics.

Original languageEnglish
Title of host publication2021 58th ACM/IEEE Design Automation Conference, DAC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781665432740
Publication statusPublished - 2021 Dec 5
Event58th ACM/IEEE Design Automation Conference, DAC 2021 - San Francisco, United States
Duration: 2021 Dec 52021 Dec 9

Publication series

NameProceedings - Design Automation Conference
ISSN (Print)0738-100X


Conference58th ACM/IEEE Design Automation Conference, DAC 2021
Country/TerritoryUnited States
CitySan Francisco

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work was supported by National Research Foundation of Korea (NRF) grant funded by the Korea government(MSIT) (No.2020R1F1A1074472) and Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No.2020-0-01361, Artificial Intelligence Graduate School Program (Yonsei University)) and the Yonsei University Research Fund (2020-22-0512)

Publisher Copyright:
© 2021 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modelling and Simulation


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