| Name: | Description: | Size: | Format: | |
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| Documento principal | 4.42 MB | Adobe PDF |
Authors
Advisor(s)
Abstract(s)
Modeling molecular surfaces enables us to extract useful information about interactions
with other molecules, as well as measurements of molecular areas and volumes. Many types
of algorithms have been developed to represent and rendering molecular surfaces. However,
these algorithms have questionable time performance in the visualization of molecular
surfaces because they are usually designed to run CPU. A possible solution to resolve this
problem is the use of parallel computing, but parallel computing systems are in general very
expensive. Fortunately, the appearance of the new generation of low-cost programmable
GPUs with massive computational power can, in principle, solve this problem. So, in this
thesis we present a GPU-based algorithm to speed up the rendering of molecular surfaces.
Besides we carry out a study that compares a sequential version (CPU) to a parallel version
(GPU) of well-know Marching Cubes (MC) algorithm to render Connolly surface, as well
as van der Waals surfaces.
Description
Keywords
Superficie molecular - Modelação computacional Superfície molecular - Renderização Superfície molecular - Métodos de triangulação Computação gráfica - 3D