GPGPU |
General-Purpose Computation Using Graphics Hardware
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IntroductionGPGPU stands for General-Purpose computation on GPUs. With the increasing programmability of commodity graphics processing units (GPUs), these chips are capable of performing more than the specific graphics computations for which they were designed. They are now capable coprocessors, and their high speed makes them useful for a variety of applications. The goal of this page is to catalog the current and historical use of GPUs for general-purpose computation.
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Generic Mesh Refinement On GPU This paper by Boubekeur
and Schlick of the INRIA IPARLA Team describes a simple and easy-to-
integrate method for "on-GPU refinement" (tesselation + displacement),
adapted to any programmable GPU. This solution to the refinement problem
reduces the usual CPU->GPU bottleneck and memory consumption by using
instantiation over a template refinement pattern. This approach is usuful for
rendering objects that are represented as a simple mesh plus a detailed
displacement requiring deep tesselation (high-res maps, smooth surfaces,
procedural displacement, etc).
(Generic Mesh
Refinement on GPU. Tamy Boubekeur and Christophe Schlick. Proceedings
of Graphics Hardware 2005).
Posted: 15 Jan 2006 [GPGPU /Computational Geometry/Surfaces and Modeling] # |
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