GPU Friendly Data Compression - GPU Technology Conference

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Vector Quantization – Decoder (GPU)• Store coded image in Buffer (DX) / TextureBuffer (GL)– Advantage over texture: no padding to proper format– No 2D address computation• Compute address of LUT entry (DX,GL,CUDA)– Uses GPU bit arithmetic• Fetch LUT entry (DX,GL,CUDA)• Bilinear / Trilinear filtering needs to be done “by-hand”Deferred Filtering, GPU Gems 2, Chapter 41King Abdullah University of Science and Technology32
Hierarchical Vector Quantization – Pyramid FiltersPyramid Filters• Reduce ~ build a mipmap• Expand: hardware accelerated bilinear fetches• Use normalized texcoords• Multiscale predictive coding, essentially.King Abdullah University of Science and Technology33
Page 3: Motivation• There are tons of met
Page 6 and 7: Block-Truncation CodesDXT, PVRTC, .
Page 8 and 9: YCoCg DXT• 2 neat contributions t
Page 10 and 11: Treib et al. „Turbulence Visualiz
Page 12 and 13: Basic outline for color images• C
Page 14 and 15: Results on GeForce GTX 580• Throu
Page 16 and 17: Efficient Out-of-Core Terrain Rende
Page 28 and 29: Hierarchical Vector Quantization•
Page 32 and 33: Hierarchical Vector Quantization -
Page 34 and 35: Decoding at a glance• Fetch Level
Page 36 and 37: Take-AwayConfocal MicroscopyKing Ab
Page 38 and 39: Custom Compression• The Tools:- K
Page 40 and 41: Custom Compression - The idea for c
Page 42 and 43: Decoding• Decoding Mobile Client-
Page 44 and 45: Custom compression - the missing li
Page 46 and 47: Wrap Up - Rendering Performance•
Page 48 and 49: Future Work• GPU-friendly lossy c

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