Guest editors' introduction: Frontiers of hardware and algorithms for on-chip learning

Yu Cao; Xin Li; Jae Sun Seo; Ganesh Dasika

doi:10.1145/3205944

Guest editors' introduction: Frontiers of hardware and algorithms for on-chip learning

Yu Cao, Xin Li, Jae Sun Seo, Ganesh Dasika

Research output: Contribution to journal › Editorial › peer-review

Original language	English (US)
Article number	3205944
Journal	ACM Journal on Emerging Technologies in Computing Systems
Volume	14
Issue number	2
DOIs	https://doi.org/10.1145/3205944
State	Published - Jul 2018
Externally published	Yes

Bibliographical note

Funding Information:
With the support of the ACM Special Interest Group in Design Automation and the IEEE Council of Electronic Design Automation, we organized the second workshop on Hardware and Algorithms for Learning On-a-chip (HALO) in 2016. Our workshop aimed to facilitate a close collaboration between the communities of hardware design and machine learning algorithms, thereby establishing and growing the interdisciplinary area of on-chip machine learning.

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title = "Guest editors' introduction: Frontiers of hardware and algorithms for on-chip learning",

author = "Yu Cao and Xin Li and Seo, {Jae Sun} and Ganesh Dasika",

note = "Funding Information: With the support of the ACM Special Interest Group in Design Automation and the IEEE Council of Electronic Design Automation, we organized the second workshop on Hardware and Algorithms for Learning On-a-chip (HALO) in 2016. Our workshop aimed to facilitate a close collaboration between the communities of hardware design and machine learning algorithms, thereby establishing and growing the interdisciplinary area of on-chip machine learning.",

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AU - Seo, Jae Sun

AU - Dasika, Ganesh

N1 - Funding Information: With the support of the ACM Special Interest Group in Design Automation and the IEEE Council of Electronic Design Automation, we organized the second workshop on Hardware and Algorithms for Learning On-a-chip (HALO) in 2016. Our workshop aimed to facilitate a close collaboration between the communities of hardware design and machine learning algorithms, thereby establishing and growing the interdisciplinary area of on-chip machine learning.

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Guest editors' introduction: Frontiers of hardware and algorithms for on-chip learning

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