DocumentCode
1361934
Title
Low-Decoding-Latency Buffer Compression for Graphics Processing Units
Author
Shao-Yi Chien ; Ka-Hang Lok ; Yen-Chang Lu
Author_Institution
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Volume
14
Issue
2
fYear
2012
fDate
4/1/2012 12:00:00 AM
Firstpage
250
Lastpage
263
Abstract
Power consumption is the key design factor for graphics processing units (GPUs), especially for mobile applications. The increasing bandwidth required to produce more realistic graphics is a major power draw. To address this factor, in this paper, we present a new universal buffer compression method that can handle both color and depth data with the same hardware unit. In contrast to the current state-of-art technologies, which mainly focus on achieving higher and higher compression ratios but discarded the decompression latency, our method reaches a good compromise between the two, which are factors critical to system performance. With spatial prediction and bitstream rearrangement, the data dependencies between different samples are reduced, which enables a parallel decoding process and makes the proposed system have 6.78 times lower decoding latency. Moreover, by adopting a similar concept for the color/depth compression in the DXT5 texture compression method, better quality in terms of PSNR can be achieved without introducing any decoding latency when retrieving a texel.
Keywords
buffer storage; computer graphics; graphics processing units; image coding; image colour analysis; image texture; low-power electronics; mobile computing; parallel processing; DXT5 texture compression method; GPUs; PSNR; bandwidth required; bitstream rearrangement; color compression; color data; compression ratios; data dependency; decoding latency; decompression latency; depth compression; depth data; graphics processing units; hardware unit; key design factor; low-decoding-latency buffer compression; mobile applications; parallel decoding process; power consumption; realistic graphics; spatial prediction; state-of-art technology; system performance; texel retrieval; universal buffer compression method; Codecs; Compression algorithms; Decoding; Encoding; Graphics; Image color analysis; Buffer compression; mobile graphics; texture compression;
fLanguage
English
Journal_Title
Multimedia, IEEE Transactions on
Publisher
ieee
ISSN
1520-9210
Type
jour
DOI
10.1109/TMM.2011.2173476
Filename
6060915
Link To Document