Fast CUDA-Based Triangulation of Molecular Surfaces

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dc.contributor.authorDias, Sérgioen_US
dc.contributor.authorGomes, Abelen_US
dc.contributor.editorCoelho, António and Cláudio, Ana Paulaen_US
dc.date.accessioned2021-06-18T07:37:51Z
dc.date.available2021-06-18T07:37:51Z
dc.date.issued2021
dc.description.abstractModeling molecular surfaces enables us to extract useful information about interactions with other molecules and measurements of areas and volumes. Over the years many types of algorithms have been developed to represent and rendering molecular surfaces, but all these algorithms have problems related to time performance in triangulating molecular surfaces. One possible solution to solve this problem is using parallel computing systems, but until recently they have been very expensive. Fortunately, the appearance of the new generation of low-cost GPUs with massive computational power opens up an opportunity window to solve this problem. So, in this paper, we present a GPU-based algorithm to speed up the triangulation and rendering of molecular surfaces. Besides we carry out a study that compares a sequential version (CPU) and a parallel version (GPU) of a molecular surface representation using the Marching Cubes (MC) Algorithm.en_US
dc.description.sectionheadersSíntese de Imagem, Modelação Geométrica e GPU
dc.description.seriesinformationACTAS DO 17º ENCONTRO PORTUGUÊS DE COMPUTAÇÃO GRÁFICA
dc.identifier.doi10.2312/pt.20091217
dc.identifier.isbn978-3-03868-154-0
dc.identifier.pages103-110
dc.identifier.urihttps://doi.org/10.2312/pt.20091217
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/pt20091217
dc.publisherThe Eurographics Associationen_US
dc.subjectConnolly surface
dc.subjectmolecular surface
dc.subjectimplicit surface
dc.subjectGPU computing
dc.titleFast CUDA-Based Triangulation of Molecular Surfacesen_US
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