Data-parallel Micropolygon Rasterization

  title={Data-parallel Micropolygon Rasterization},
  author={Christian Eisenacher and Charles T. Loop},
We implement a tile based sort-middle rasterizer in CUDA and study its performance characteristics when used as a backend for adaptive tessellation down to micropolygons. Tessellation and bucketing map very well to the data-parallel paradigm of CUDA, and the majority of time is spent with rasterization. Despite this, our fastest implementation is able to reach 30-50% of the hardware rasterization performance of an Nvidia GTX 280. Overall we are able to rasterize 4 M textured and Phong shaded… CONTINUE READING

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