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Introduction to the Special Issue on Hardware and Algorithms for Efficient Machine Learning-Part 2

Publication ,  Journal Article
Chen, Y; Qiu, Q; Lin, Y
Published in: ACM Journal on Emerging Technologies in Computing Systems
October 1, 2021

Duke Scholars

Published In

ACM Journal on Emerging Technologies in Computing Systems

DOI

EISSN

1550-4840

ISSN

1550-4832

Publication Date

October 1, 2021

Volume

17

Issue

4

Related Subject Headings

  • Computer Hardware & Architecture
  • 4606 Distributed computing and systems software
  • 1007 Nanotechnology
  • 1006 Computer Hardware
  • 0906 Electrical and Electronic Engineering
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Chen, Y., Qiu, Q., & Lin, Y. (2021). Introduction to the Special Issue on Hardware and Algorithms for Efficient Machine Learning-Part 2. ACM Journal on Emerging Technologies in Computing Systems, 17(4). https://doi.org/10.1145/3464917
Chen, Y., Q. Qiu, and Y. Lin. “Introduction to the Special Issue on Hardware and Algorithms for Efficient Machine Learning-Part 2.” ACM Journal on Emerging Technologies in Computing Systems 17, no. 4 (October 1, 2021). https://doi.org/10.1145/3464917.
Chen Y, Qiu Q, Lin Y. Introduction to the Special Issue on Hardware and Algorithms for Efficient Machine Learning-Part 2. ACM Journal on Emerging Technologies in Computing Systems. 2021 Oct 1;17(4).
Chen, Y., et al. “Introduction to the Special Issue on Hardware and Algorithms for Efficient Machine Learning-Part 2.” ACM Journal on Emerging Technologies in Computing Systems, vol. 17, no. 4, Oct. 2021. Scopus, doi:10.1145/3464917.
Chen Y, Qiu Q, Lin Y. Introduction to the Special Issue on Hardware and Algorithms for Efficient Machine Learning-Part 2. ACM Journal on Emerging Technologies in Computing Systems. 2021 Oct 1;17(4).

Published In

ACM Journal on Emerging Technologies in Computing Systems

DOI

EISSN

1550-4840

ISSN

1550-4832

Publication Date

October 1, 2021

Volume

17

Issue

4

Related Subject Headings

  • Computer Hardware & Architecture
  • 4606 Distributed computing and systems software
  • 1007 Nanotechnology
  • 1006 Computer Hardware
  • 0906 Electrical and Electronic Engineering