Faster GPU Computations Using Adaptive Refinement

Craig Donner, Henrik Wann Jensen

SIGGRAPH 2004 Technical Sketch
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Abstract

We present a technique for improving the speed of multi-pass GPU computations by using adaptive refinement. We tile the screen and use occlusion queries to adaptively cull inactive parts of the computation. An implementation of this technique in a photon map renderer and a Mandelbrot fractal has resulted in speedups of up to one order of magnitude. Our technique is applicable to many of the recently developed multi-pass algorithms running on GPUs. It is easy to implement and often provides significant speedups by exploiting computational similarity, coherence, and locality.

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Last updated 20 May 2004 by Craig Donner