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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Hardware-Assisted Computation of Depth Contours This paper by Krishnan et al. demonstrates a large class of non-parametric
statistical analysis problems that can be solved using the graphics hardware.
It shows how to do duality transforms and operations in primal and dual
geometric planes in a robust way using the graphics pipeline.
(
Hardware-Assisted Computation of Depth Contours. S. Krishnan, N. Mustafa and
S. Venkatasubramanian. 13th ACM-SIAM Symposium on Discrete Algorithms).
Posted: 23 Jan 2003 [GPGPU /Computational Geometry] # The power of a two-sided depth test and its application to CSG rendering and depth extraction. This paper by Guha et al., to appear in the 2003 ACM SIGGRAPH Symposium on
Interactive 3D graphics, shows how the shadow mapping operation in the new
NVIDIA GeForce4 cards can be viewed as a two-sided depth test in order to
do CSG rendering efficiently. The result is an algorithm that can perform a
topological sweep over an arrangement of objects in three dimensions. It also
shows the first lower bounds on the number of rendering passes required for a
hardware-assisted computation. (The power of a two-sided depth test and its
application to CSG rendering and depth extraction. S. Guha, K. Munagala,
S. Krishnan and S. Venkatasubramanian. To appear in the 2003 ACM SIGGRAPH
Symposium on Interactive 3D graphics.)
Posted: 23 Jan 2003 [GPGPU /Computational Geometry] # Hardware Assisted View Dependent Map Simplification This paper by Mustafa et al. examines the use of graphics hardware as a general
purpose geometry engine to compute simplification of large geographic maps
in real-time.
(
Hardware Assisted View Dependent Map Simplification.
N. Mustafa, E. Koutsofios, S. Krishnan and S. Venkatasubramanian.
17th Annual ACM Symposium on Computational Geometry, June 2001)
Posted: 23 Jan 2003 [GPGPU /Computational Geometry/GIS] # |
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