Custom Sub-Systems and Circuits for Deep Learning: Guest Editorial Overview

Chia Yu Chen; Boris Murmann; Jae Sun Seo; Hoi Jun Yoo

doi:10.1109/JETCAS.2019.2918317

Custom Sub-Systems and Circuits for Deep Learning: Guest Editorial Overview

Chia Yu Chen, Boris Murmann, Jae Sun Seo, Hoi Jun Yoo

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

2 Scopus citations

Abstract

This survey paper summarizes recent progress of deep learning circuits and systems technologies and contains four topics: hardware-centric deep learning algorithms, digital architectures, analog architectures, and system demonstrations. We present an overview of these four areas and introduce key contributions of papers in this special issue.

Original language	English (US)
Article number	8720273
Pages (from-to)	247-252
Number of pages	6
Journal	IEEE Journal on Emerging and Selected Topics in Circuits and Systems
Volume	9
Issue number	2
DOIs	https://doi.org/10.1109/JETCAS.2019.2918317
State	Published - Jun 2019

Keywords

Deep learning
accelerators
approximate computing
computer architectures
data-flow architectures
distributed learning
in-memory computing
integrated circuit designs
machine learning
neural network hardware
reduced-precision

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/JETCAS.2019.2918317

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title = "Custom Sub-Systems and Circuits for Deep Learning: Guest Editorial Overview",

abstract = "This survey paper summarizes recent progress of deep learning circuits and systems technologies and contains four topics: hardware-centric deep learning algorithms, digital architectures, analog architectures, and system demonstrations. We present an overview of these four areas and introduce key contributions of papers in this special issue.",

keywords = "Deep learning, accelerators, approximate computing, computer architectures, data-flow architectures, distributed learning, in-memory computing, integrated circuit designs, machine learning, neural network hardware, reduced-precision",

author = "Chen, {Chia Yu} and Boris Murmann and Seo, {Jae Sun} and Yoo, {Hoi Jun}",

note = "Publisher Copyright: {\textcopyright} 2011 IEEE.",

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KW - approximate computing

KW - computer architectures

KW - data-flow architectures

KW - distributed learning

KW - in-memory computing

KW - integrated circuit designs

KW - machine learning

KW - neural network hardware

KW - reduced-precision

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Custom Sub-Systems and Circuits for Deep Learning: Guest Editorial Overview

Abstract

Keywords

ASJC Scopus subject areas

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