3 research outputs found
An Overview of BRDF Models
This paper is focused on the Bidirectional Reflectance Distribution Function (BRDF) in the context of algorithms for computational production of realistic synthetic images. We provide a review of most relevant analytical BRDF models proposed in the literature which have been used for realistic rendering. We also show different approaches used for obtaining efficient models from acquired reflectance data, and the related function fitting techniques, suitable for using that data in efficient rendering algorithms. We consider algorithms for computation of BRDF integrals, by using Monte-Carlo based numerical integration. In this context, we review known techniques to design efficient BRDF sampling schemes for both analytical and measured BRDF models.The authors have been partially supported by
the Spanish Research Program under project
TIN2004-07672-C03-02 and the Andalusian Research
Program under project P08-TIC-03717
Efficient multilayer shallow-water simulation system based on GPUs
The computational simulation of shallow stratified fluids is a very active research topic because these types
of systems are very common in a variety of natural environments. The simulation of such systems can
be modelled using multilayer shallow-water equations but do impose important computational requisites
especially when applied to large domains.
General Purpose Computing on Graphics Processing Units (GPGPU) has become a vivid research field
due to the arrival of massively parallel hardware platforms (based on graphics cards) and adequate pro-
gramming frameworks which have allowed important speed-up factors with respect to not only sequential
but also parallel CPU based simulation systems.
In this work we present a proposal for the simulation of shallow stratified fluids with an arbitrary number
of layers using GPUs. The designed system does fully adapt to the many-core architecture of modern GPUs
and several experiments have been carried out to illustrate its scalability and behavior on different GPU
models. We propose a new elaborated 3D computational scheme for an underlying 2D mathematical model.
This scheme allowed implementing a system capable of handling an arbitrary number of layers. The system
adds no overhead when used for two-layer scenarios, compared to an existing 2D system specifically designed
for just two layers.
Our proposal is aimed at creating a GPU-based computational scheme suitable for the simulation of
multilayer large-scale real-world scenarios.P11-FQM8179P11-RNM7069MTM2012-38383-C02-0
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