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A Survey of Accelerator Architectures for Deep Neural Networks

Publication ,  Journal Article
Chen, Y; Xie, Y; Song, L; Chen, F; Tang, T
Published in: Engineering
March 1, 2020

Recently, due to the availability of big data and the rapid growth of computing power, artificial intelligence (AI) has regained tremendous attention and investment. Machine learning (ML) approaches have been successfully applied to solve many problems in academia and in industry. Although the explosion of big data applications is driving the development of ML, it also imposes severe challenges of data processing speed and scalability on conventional computer systems. Computing platforms that are dedicatedly designed for AI applications have been considered, ranging from a complement to von Neumann platforms to a “must-have” and stand-alone technical solution. These platforms, which belong to a larger category named “domain-specific computing,” focus on specific customization for AI. In this article, we focus on summarizing the recent advances in accelerator designs for deep neural networks (DNNs)—that is, DNN accelerators. We discuss various architectures that support DNN executions in terms of computing units, dataflow optimization, targeted network topologies, architectures on emerging technologies, and accelerators for emerging applications. We also provide our visions on the future trend of AI chip designs.

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Published In

Engineering

DOI

ISSN

2095-8099

Publication Date

March 1, 2020

Volume

6

Issue

3

Start / End Page

264 / 274

Related Subject Headings

  • 40 Engineering
 

Citation

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Chen, Y., Xie, Y., Song, L., Chen, F., & Tang, T. (2020). A Survey of Accelerator Architectures for Deep Neural Networks. Engineering, 6(3), 264–274. https://doi.org/10.1016/j.eng.2020.01.007
Chen, Y., Y. Xie, L. Song, F. Chen, and T. Tang. “A Survey of Accelerator Architectures for Deep Neural Networks.” Engineering 6, no. 3 (March 1, 2020): 264–74. https://doi.org/10.1016/j.eng.2020.01.007.
Chen Y, Xie Y, Song L, Chen F, Tang T. A Survey of Accelerator Architectures for Deep Neural Networks. Engineering. 2020 Mar 1;6(3):264–74.
Chen, Y., et al. “A Survey of Accelerator Architectures for Deep Neural Networks.” Engineering, vol. 6, no. 3, Mar. 2020, pp. 264–74. Scopus, doi:10.1016/j.eng.2020.01.007.
Chen Y, Xie Y, Song L, Chen F, Tang T. A Survey of Accelerator Architectures for Deep Neural Networks. Engineering. 2020 Mar 1;6(3):264–274.
Journal cover image

Published In

Engineering

DOI

ISSN

2095-8099

Publication Date

March 1, 2020

Volume

6

Issue

3

Start / End Page

264 / 274

Related Subject Headings

  • 40 Engineering