An optimization method of webp images lossy compression algorithm for fpgas

Yaqian Zhao; Zhenhua Guo; Baoyu Fan; Kai Gao; Li Wang; Fang Cao

doi:10.1109/ISPA-BDCloud-SustainCom-SocialCom48970.2019.00107

An optimization method of webp images lossy compression algorithm for fpgas

Yaqian Zhao
, Zhenhua Guo
, Baoyu Fan
, Kai Gao
, Li Wang
, Fang Cao

Ltd.

研究成果: Conference contribution › 同行評審

4 引文斯高帕斯（Scopus）

摘要

To improve the efficiency of WebP images lossy compression algorithm for heterogeneous accelerating based on FPGAs in data center server, this paper proposed an optimization method of WebP image lossy compression algorithm for FPGAs. By adopting the optimization method of this paper, the overall throughput performance of WebP heterogeneous acceleration solution based on OpenCL language can be up to 281MPixel/s. The energy efficiency ratio is 2.29x higher than Intel Xeon E5-2690v3 processor. Compare with the industry-leading WebP heterogeneous acceleration solution of Xilinx and CTAccel, the throughput performance of this paper is 2.5x better than Xilinx and 1.8x better than CTAccel. Finally, this paper improves the utilization of RAM resources according to the characteristics of the RAM block in the FPGA.

原文	English
主出版物標題	Proceedings - 2019 IEEE Intl Conf on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SustainCom/SocialCom 2019
發行者	Institute of Electrical and Electronics Engineers Inc.
頁面	705-711
頁數	7
ISBN（電子）	9781728143286
DOIs	https://doi.org/10.1109/ISPA-BDCloud-SustainCom-SocialCom48970.2019.00107
出版狀態	Published - 12月 2019
對外發佈	是
事件	17th IEEE International Conference on Parallel and Distributed Processing with Applications, 9th IEEE International Conference on Big Data and Cloud Computing, 9th IEEE International Conference on Sustainable Computing and Communications, 12th IEEE International Conference on Social Computing and Networking, ISPA/BDCloud/SustainCom/SocialCom 2019 - Xiamen, China 持續時間: 16 12月 2019 → 18 12月 2019

出版系列

名字	Proceedings - 2019 IEEE Intl Conf on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SustainCom/SocialCom 2019

Conference

Conference	17th IEEE International Conference on Parallel and Distributed Processing with Applications, 9th IEEE International Conference on Big Data and Cloud Computing, 9th IEEE International Conference on Sustainable Computing and Communications, 12th IEEE International Conference on Social Computing and Networking, ISPA/BDCloud/SustainCom/SocialCom 2019
國家/地區	China
城市	Xiamen
期間	16/12/19 → 18/12/19

UN SDG

此研究成果有助於以下永續發展目標

Affordable and clean energy

存取文件

10.1109/ISPA-BDCloud-SustainCom-SocialCom48970.2019.00107

其它文件與鏈接

Link to publication in Scopus

引用此

Zhao, Y., Guo, Z., Fan, B., Gao, K., Wang, L., & Cao, F. (2019). An optimization method of webp images lossy compression algorithm for fpgas. 於 Proceedings - 2019 IEEE Intl Conf on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SustainCom/SocialCom 2019 (頁 705-711). 文章 9047250 (Proceedings - 2019 IEEE Intl Conf on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SustainCom/SocialCom 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISPA-BDCloud-SustainCom-SocialCom48970.2019.00107

Zhao, Yaqian ; Guo, Zhenhua ; Fan, Baoyu 等. / An optimization method of webp images lossy compression algorithm for fpgas. Proceedings - 2019 IEEE Intl Conf on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SustainCom/SocialCom 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 頁 705-711 (Proceedings - 2019 IEEE Intl Conf on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SustainCom/SocialCom 2019).

@inproceedings{d1bb36b5975049b5a3863192e753be4c,

title = "An optimization method of webp images lossy compression algorithm for fpgas",

abstract = "To improve the efficiency of WebP images lossy compression algorithm for heterogeneous accelerating based on FPGAs in data center server, this paper proposed an optimization method of WebP image lossy compression algorithm for FPGAs. By adopting the optimization method of this paper, the overall throughput performance of WebP heterogeneous acceleration solution based on OpenCL language can be up to 281MPixel/s. The energy efficiency ratio is 2.29x higher than Intel Xeon E5-2690v3 processor. Compare with the industry-leading WebP heterogeneous acceleration solution of Xilinx and CTAccel, the throughput performance of this paper is 2.5x better than Xilinx and 1.8x better than CTAccel. Finally, this paper improves the utilization of RAM resources according to the characteristics of the RAM block in the FPGA.",

keywords = "Fpga, Image compression, Opencl, Webp",

author = "Yaqian Zhao and Zhenhua Guo and Baoyu Fan and Kai Gao and Li Wang and Fang Cao",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 17th IEEE International Conference on Parallel and Distributed Processing with Applications, 9th IEEE International Conference on Big Data and Cloud Computing, 9th IEEE International Conference on Sustainable Computing and Communications, 12th IEEE International Conference on Social Computing and Networking, ISPA/BDCloud/SustainCom/SocialCom 2019 ; Conference date: 16-12-2019 Through 18-12-2019",

year = "2019",

month = dec,

doi = "10.1109/ISPA-BDCloud-SustainCom-SocialCom48970.2019.00107",

language = "English",

series = "Proceedings - 2019 IEEE Intl Conf on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SustainCom/SocialCom 2019",

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

pages = "705--711",

booktitle = "Proceedings - 2019 IEEE Intl Conf on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SustainCom/SocialCom 2019",

address = "United States",

}

Zhao, Y, Guo, Z, Fan, B, Gao, K, Wang, L & Cao, F 2019, An optimization method of webp images lossy compression algorithm for fpgas. 於 Proceedings - 2019 IEEE Intl Conf on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SustainCom/SocialCom 2019., 9047250, Proceedings - 2019 IEEE Intl Conf on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SustainCom/SocialCom 2019, Institute of Electrical and Electronics Engineers Inc., 頁 705-711, 17th IEEE International Conference on Parallel and Distributed Processing with Applications, 9th IEEE International Conference on Big Data and Cloud Computing, 9th IEEE International Conference on Sustainable Computing and Communications, 12th IEEE International Conference on Social Computing and Networking, ISPA/BDCloud/SustainCom/SocialCom 2019, Xiamen, China, 16/12/19. https://doi.org/10.1109/ISPA-BDCloud-SustainCom-SocialCom48970.2019.00107

An optimization method of webp images lossy compression algorithm for fpgas. / Zhao, Yaqian; Guo, Zhenhua; Fan, Baoyu 等.
Proceedings - 2019 IEEE Intl Conf on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SustainCom/SocialCom 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 705-711 9047250 (Proceedings - 2019 IEEE Intl Conf on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SustainCom/SocialCom 2019).

研究成果: Conference contribution › 同行評審

TY - GEN

T1 - An optimization method of webp images lossy compression algorithm for fpgas

AU - Zhao, Yaqian

AU - Guo, Zhenhua

AU - Fan, Baoyu

AU - Gao, Kai

AU - Wang, Li

AU - Cao, Fang

PY - 2019/12

Y1 - 2019/12

N2 - To improve the efficiency of WebP images lossy compression algorithm for heterogeneous accelerating based on FPGAs in data center server, this paper proposed an optimization method of WebP image lossy compression algorithm for FPGAs. By adopting the optimization method of this paper, the overall throughput performance of WebP heterogeneous acceleration solution based on OpenCL language can be up to 281MPixel/s. The energy efficiency ratio is 2.29x higher than Intel Xeon E5-2690v3 processor. Compare with the industry-leading WebP heterogeneous acceleration solution of Xilinx and CTAccel, the throughput performance of this paper is 2.5x better than Xilinx and 1.8x better than CTAccel. Finally, this paper improves the utilization of RAM resources according to the characteristics of the RAM block in the FPGA.

AB - To improve the efficiency of WebP images lossy compression algorithm for heterogeneous accelerating based on FPGAs in data center server, this paper proposed an optimization method of WebP image lossy compression algorithm for FPGAs. By adopting the optimization method of this paper, the overall throughput performance of WebP heterogeneous acceleration solution based on OpenCL language can be up to 281MPixel/s. The energy efficiency ratio is 2.29x higher than Intel Xeon E5-2690v3 processor. Compare with the industry-leading WebP heterogeneous acceleration solution of Xilinx and CTAccel, the throughput performance of this paper is 2.5x better than Xilinx and 1.8x better than CTAccel. Finally, this paper improves the utilization of RAM resources according to the characteristics of the RAM block in the FPGA.

KW - Fpga

KW - Image compression

KW - Opencl

KW - Webp

UR - https://www.scopus.com/pages/publications/85085506004

U2 - 10.1109/ISPA-BDCloud-SustainCom-SocialCom48970.2019.00107

DO - 10.1109/ISPA-BDCloud-SustainCom-SocialCom48970.2019.00107

M3 - Conference contribution

AN - SCOPUS:85085506004

T3 - Proceedings - 2019 IEEE Intl Conf on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SustainCom/SocialCom 2019

SP - 705

EP - 711

BT - Proceedings - 2019 IEEE Intl Conf on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SustainCom/SocialCom 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 17th IEEE International Conference on Parallel and Distributed Processing with Applications, 9th IEEE International Conference on Big Data and Cloud Computing, 9th IEEE International Conference on Sustainable Computing and Communications, 12th IEEE International Conference on Social Computing and Networking, ISPA/BDCloud/SustainCom/SocialCom 2019

Y2 - 16 December 2019 through 18 December 2019

ER -

Zhao Y, Guo Z, Fan B, Gao K, Wang L, Cao F. An optimization method of webp images lossy compression algorithm for fpgas. 於 Proceedings - 2019 IEEE Intl Conf on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SustainCom/SocialCom 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 705-711. 9047250. (Proceedings - 2019 IEEE Intl Conf on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SustainCom/SocialCom 2019). doi: 10.1109/ISPA-BDCloud-SustainCom-SocialCom48970.2019.00107

An optimization method of webp images lossy compression algorithm for fpgas

摘要

出版系列

Conference

UN SDG

存取文件

其它文件與鏈接

指紋

引用此