Earticle

초록

영어

In this paper, we propose a task-parallel programming extension for the JPEG decoder of the libjpeg-turbo library. Efficient JPEG decoding is especially important for resource-constrained mobile devices such as smartphones, where decoding (e.g., browsing of web pages containing images, image search aso) is far more common than image encoding. The aim of our work is to utilize multiple CPU cores for JPEG decompression from a single client thread. Our method is orthogonal to libjpeg-turbo's support for data-parallelism (SIMD). Experimental evaluation of our approach on a 4-core Intel i7-2600K CPU shows speed-ups of up to 2.5x over the sequential, and up to 34% over the SIMD-version of the libjpeg-turbo JPEG decoder.

목차

Abstract
 1. Introduction
 2. Background and Related Work
 3. Utilizing Task-parallelism with the Libjpeg-turbo Library
  3.1. Design and Implementation of Fork/Join Task Parallelism with the Libjpeg-turbo JPEG decoder
 4. Experimental Results
 5. Conclusion and Future Work
 References

키워드

저자

• Jingun Hong [ Yonsei University ]
• Wasuwee Sodsong [ Yonsei University ]
• Seongwook Chung [ Yonsei University ]
• Cheong Ghil Kim [ Namseoul University ]
• Yeongkyu Lim [ LG Electronics Inc. ]
• Shin-Dug Kim [ Yonsei University ]
• Bernd Burgstaller [ Yonsei University ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605