An Efficient Convolutional Neural Network Accelerator

Yeong Kang Lai; Zheng Xun Yeh

doi:10.1109/ICCE-Taiwan58799.2023.10226679

An Efficient Convolutional Neural Network Accelerator

Yeong Kang Lai^*, Zheng Xun Yeh

^*Corresponding author for this work

National Chung Hsing University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper proposes a three-dimensional tree architecture. This architecture consists of 32 tree architectures. Each tree architecture is responsible for all operations of a kernel, so that each kernel can be processed in parallel. The inner product operation in each kernel can also use the characteristics of the tree architecture to achieve parallel operations. Operations in two different dimensions achieve the goal of parallel processing.

Original language	English
Title of host publication	2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	99-100
Number of pages	2
ISBN (Electronic)	9798350324174
DOIs	https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226679
State	Published - 2023
Externally published	Yes
Event	2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Pingtung, Taiwan Duration: 17 07 2023 → 19 07 2023

Publication series

Name	2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings

Conference

Conference	2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023
Country/Territory	Taiwan
City	Pingtung
Period	17/07/23 → 19/07/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

FPGA
YOLO
accelerator
convolution
object detection
tree architecture

Access to Document

10.1109/ICCE-Taiwan58799.2023.10226679

Cite this

Lai, Y. K., & Yeh, Z. X. (2023). An Efficient Convolutional Neural Network Accelerator. In 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings (pp. 99-100). (2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226679

@inproceedings{6bab569b065149d0a5ea8139d20a2dce,

title = "An Efficient Convolutional Neural Network Accelerator",

abstract = "This paper proposes a three-dimensional tree architecture. This architecture consists of 32 tree architectures. Each tree architecture is responsible for all operations of a kernel, so that each kernel can be processed in parallel. The inner product operation in each kernel can also use the characteristics of the tree architecture to achieve parallel operations. Operations in two different dimensions achieve the goal of parallel processing.",

keywords = "FPGA, YOLO, accelerator, convolution, object detection, tree architecture",

author = "Lai, \{Yeong Kang\} and Yeh, \{Zheng Xun\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 ; Conference date: 17-07-2023 Through 19-07-2023",

year = "2023",

doi = "10.1109/ICCE-Taiwan58799.2023.10226679",

language = "英语",

series = "2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "99--100",

booktitle = "2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings",

address = "美国",

}

Lai, YK & Yeh, ZX 2023, An Efficient Convolutional Neural Network Accelerator. in 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings. 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 99-100, 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023, Pingtung, Taiwan, 17/07/23. https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226679

An Efficient Convolutional Neural Network Accelerator. / Lai, Yeong Kang; Yeh, Zheng Xun.
2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. p. 99-100 (2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An Efficient Convolutional Neural Network Accelerator

AU - Lai, Yeong Kang

AU - Yeh, Zheng Xun

PY - 2023

Y1 - 2023

N2 - This paper proposes a three-dimensional tree architecture. This architecture consists of 32 tree architectures. Each tree architecture is responsible for all operations of a kernel, so that each kernel can be processed in parallel. The inner product operation in each kernel can also use the characteristics of the tree architecture to achieve parallel operations. Operations in two different dimensions achieve the goal of parallel processing.

AB - This paper proposes a three-dimensional tree architecture. This architecture consists of 32 tree architectures. Each tree architecture is responsible for all operations of a kernel, so that each kernel can be processed in parallel. The inner product operation in each kernel can also use the characteristics of the tree architecture to achieve parallel operations. Operations in two different dimensions achieve the goal of parallel processing.

KW - FPGA

KW - YOLO

KW - accelerator

KW - convolution

KW - object detection

KW - tree architecture

UR - https://www.scopus.com/pages/publications/85174943670

U2 - 10.1109/ICCE-Taiwan58799.2023.10226679

DO - 10.1109/ICCE-Taiwan58799.2023.10226679

M3 - 会议稿件

AN - SCOPUS:85174943670

T3 - 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings

SP - 99

EP - 100

BT - 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023

Y2 - 17 July 2023 through 19 July 2023

ER -

Lai YK, Yeh ZX. An Efficient Convolutional Neural Network Accelerator. In 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. p. 99-100. (2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings). doi: 10.1109/ICCE-Taiwan58799.2023.10226679

An Efficient Convolutional Neural Network Accelerator

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this