Presentation in pdf format - University of Minnesota Duluth

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Problem Overview Continued… Goal of my research Effective rendering of snowing conditions Improve visual rendering of snow Interaction between light and snow Create more realistic scenes Experiment Framework: Simulated Highway [Pete Willemsen] & Snow Plow [Michele Olsen] Video (SnowRenderingSimulation.mov) 4
Background GPU Why GPU ? Many Stream Processors SIMD Architecture Massive Parallelization Dedicated for rendering high end graphics like video games, 3D games Textures Main memory structure of a GPU Each colored square is an individual texel, which can be a vector values Shaders ? One shader for updating positions Another Shader for sorting positions 12 13 14 15 8 9 10 11 4 5 6 7 0 1 2 3 5
Page 1 and 2: Siddharth Deokar Graduate Research
Page 3: Problem Overview (The Big Picture)
Page 7 and 8: System Overview Sorting & Blending
Page 9 and 10: Sorting of Snow Particles Sort the
Page 11 and 12: GPU Sort Implemented by Govindaraj
Page 13 and 14: GPU Sort Continued… (Bitonic Sort
Page 15 and 16: GPU Sort Continued… Applying GPU
Page 17 and 18: Additive Blending Alternative to s
Page 19 and 20: Aggregate Snow Effects Snow partic
Page 21 and 22: Aggregation: Snow Density 21
Page 23 and 24: High Dynamic Range Rendering Our v
Page 25 and 26: HDR Rendering Continued… Render u
Page 27 and 28: HDR Rendering Continued… Final I
Page 29 and 30: Transparency Gaussian Function Gi
Page 31 and 32: Shapes for snow particles continued
Page 33 and 34: Scattering Ray Tracing Tracing pa
Page 35 and 36: Scattering Video (scattering.mov)
Page 37 and 38: Results Continued… GPU Sort (Wit
Page 39 and 40: Results Continued… Snow Model O
Page 41 and 42: Snow Model Video (snow.mov) 41
Page 43 and 44: Conclusion A snow domain which is
Page 45: Thank You Questions ?

Presentation in pdf format - University of Minnesota Duluth

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