An OpenCL™ implementation of WebP accelerator on FPGAs

Zhenhua Guo, Baoyu Fan, Yaqian Zhao, Xuelei Li, Shixin Wei, Long Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

With the development of cloud computing, the super-large scale of image data has bring severe challenges for the storage cost and network bandwidth in data centers. In order to alleviate the present situation effectively, WebP has replaced the current mainstream image file format due to its better compression efficiency. In this paper, we provide an OpenCL implementation of WebP accelerator on FPGAs to optimize the performance of WebP Lossy Compression Algorithm. Our accelerator makes use of a heavily-pipelined custom hardware implementation to achieve a high throughput ~450MPixel/s. The performance-per-watt of our OpenCL implementation on Intel’s Arria 10 device is 8.32x better than a highly-tuned CPU implementation on Intel Xeon E5-2690v3 with 24 thread cores. Additionally, the delay time per image can be reduced to ~90% by the data parallelism and macroblock pipelining on FPGAs. Finally, our OpenCL™ implementation of WebP accelerator on FPGAs is more competitive for data centers to achieve higher performance and lower cost.

Original languageEnglish
Title of host publicationApplied Reconfigurable Computing
Subtitle of host publicationArchitectures, Tools, and Applications - 14th International Symposium, ARC 2018, Proceedings
EditorsNikolaos Voros, Georgios Keramidas, Christos Antonopoulos, Michael Huebner, Pedro C. Diniz, Diana Goehringer
PublisherSpringer Verlag
Pages578-589
Number of pages12
ISBN (Print)9783319788890
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event14th International Symposium on Applied Reconfigurable Computing, ARC 2018 - Santorini, Greece
Duration: 2 May 20184 May 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10824 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Symposium on Applied Reconfigurable Computing, ARC 2018
Country/TerritoryGreece
CitySantorini
Period2/05/184/05/18

Keywords

  • Accelerator
  • FPGAs
  • OpenCL
  • WebP

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