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.

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

4 Citations (Scopus)

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.

Original language	English
Title of host publication	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
Number of pages	7
ISBN (Electronic)	9781728143286
DOIs	https://doi.org/10.1109/ISPA-BDCloud-SustainCom-SocialCom48970.2019.00107
Publication status	Published - Dec 2019
Externally published	Yes
Event	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 Duration: 16 Dec 2019 → 18 Dec 2019

Publication series

Name	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
Country/Territory	China
City	Xiamen
Period	16/12/19 → 18/12/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Fpga
Image compression
Opencl
Webp

Access to Document

10.1109/ISPA-BDCloud-SustainCom-SocialCom48970.2019.00107

Cite this

Zhao, Y., Guo, Z., Fan, B., Gao, K., Wang, L., & Cao, F. (2019). An optimization method of webp images lossy compression algorithm for fpgas. In 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 (pp. 705-711). Article 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 et al. / 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. pp. 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. in 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., pp. 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 et al.
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).

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

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. In 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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this