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
fDate :
4/1/2012 12:00:00 AM
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;
Journal_Title :
Multimedia, IEEE Transactions on
DOI :
10.1109/TMM.2011.2173476