원문정보
보안공학연구지원센터(IJMUE)
International Journal of Multimedia and Ubiquitous Engineering
Vol.7 No2
2012.05
pp.147-152
피인용수 : 0건 (자료제공 : 네이버학술정보)
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
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
저자정보
참고문헌
자료제공 : 네이버학술정보