https://scholars.lib.ntu.edu.tw/handle/123456789/154815
標題: | Data reuse exploration for low power motion estimation architecture design in H.264 encoder | 作者: | Chen, Yu-Han Chen, Tung-Chien Tsai, Chuan-Yung Tsai, Sung-Fang LIANG-GEE CHEN |
公開日期: | 2008 | 卷: | 50 | 期: | 1 | 起(迄)頁: | 1 - 17 | 來源出版物: | Journal of Signal Processing Systems | 摘要: | Data access usually leads to more than 50% of the power cost in a modern signal processing system. To realize a low-power design, how to reduce the memory access power is a critical issue. Data reuse (DR) is a technique that recycles the data read from memory and can be used to reduce memory access power. In this paper, a systematic method of DR exploration for low-power architecture design is presented. For a start, the signal processing algorithms should be formulated as the nested loops structures, and data locality is explored by use of loop analysis. Then, corresponding DR techniques are applied to reduce memory access power. The proposed design methodology is applied to the motion estimation (ME) algorithms of H.264 video coding standard. After analyzing the ME algorithms, suitable parallel architectures and processing flows of the integer ME (IME) and fractional ME (FME) are proposed to achieve efficient DR. The amount of memory access is respectively reduced to 0.91 and 4.37% in the proposed IME and FME designs, and thus lots of memory access power is saved. Finally, the design methodology is also beneficial for other signal processing systems with a low-power consideration. © 2007 Springer Science+Business Media, LLC. Data reuse; H.264; Motion estimation; Parallel processing |
URI: | http://ntur.lib.ntu.edu.tw//handle/246246/141478 https://www.scopus.com/inward/record.uri?eid=2-s2.0-42149135419&doi=10.1007%2fs11265-007-0112-3&partnerID=40&md5=86e8d02877d31db9dd6accc3a052e9cf |
ISSN: | 19398018 | DOI: | 10.1007/s11265-007-0112-3 | SDG/關鍵字: | Data reuse exploration; Low power motion; Signal processing algorithms; Data storage equipment; Data structures; Image coding; Motion estimation; Parallel processing systems; Digital signal processing |
顯示於: | 電機工程學系 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。