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  1. Proceedings of the 22nd ACM SIGGRAPH/EUROGRAPHICS symposium on Graphics hardware (GH '07)
  2. Practical logarithmic rasterization for low-error shadow maps
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Stochastic rasterization using time-continuous triangles
Tight frame normal map compression
A hardware redundancy and recovery mechanism for reliable scientific computation on graphics processors
A hardware-aware debugger for the OpenGL shading language
Practical logarithmic rasterization for low-error shadow maps
Exact and error-bounded approximate color buffer compression and decompression
A real-time FPGA-based architecture for a Reinhard-like tone mapping operator
Programmable shaders for deformation rendering
Accelerating real-time shading with reverse reprojection caching
ETC2: texture compression using invalid combinations
A low-power handheld GPU using logarithmic arithmetic and triple DVFS power domains
Scan primitives for GPU computing

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Practical logarithmic rasterization for low-error shadow maps

Content Provider ACM Digital Library
Author Lloyd, D. Brandon Molnar, Steven E. Govindaraju, Naga K. Manocha, Dinesh
Abstract Logarithmic shadow maps can deliver the same quality as competing shadow map algorithms with substantially less storage and bandwidth. We show how current GPU architectures can be modified incrementally to support rendering of logarithmic shadow maps at current GPU fill rates. Specifically, we modify the rasterizer to support rendering to a nonuniform grid with the same watertight rasterization properties as current rasterizers. We also describe a depth compression scheme to handle the nonlinear primitives produced by logarithmic rasterization. Our proposed architecture enhancements align with current trends of decreasing cost for on-chip computation relative to off-chip bandwidth and storage. For a modest increase in computation, logarithmic rasterization can greatly reduce shadow map bandwidth and storage costs.
Starting Page 17
Ending Page 24
Page Count 8
ISBN 9781595936257
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2007-08-04
Publisher Place Goslar
Access Restriction Subscribed
Content Type Text
Resource Type Article
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