Visualization of flow fields in the web platform

Visualization of vector fields plays an important role in research activities nowadays -- Web applications allow a fast, multi-platform and multi-device access to data, which results in the need of optimized applications to be implemented in both high-performance and low-performance devices -- Point...

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Autores:
Aristizábal, Mauricio
Congote, John
Segura, Álvaro
Moreno, Aitor
Arregui, Harbil
Ruíz, Óscar
Tipo de recurso:
Fecha de publicación:
2012
Institución:
Universidad EAFIT
Repositorio:
Repositorio EAFIT
Idioma:
OAI Identifier:
oai:repository.eafit.edu.co:10784/9540
Acceso en línea:
http://hdl.handle.net/10784/9540
Palabra clave:
CAMPOS VECTORIALES
MÉTODOS ITERATIVOS (MATEMÁTICAS)
INTEGRACIÓN NUMÉRICA
PROGRAMACIÓN PARALELA (COMPUTADORES)
GRÁFICOS POR COMPUTADOR
Vector fields
Iterative methods (mathematics)
Numerical integration
Parallel programming (computer science)
Computer graphics
Vector fields
Iterative methods (mathematics)
Numerical integration
Parallel programming (computer science)
Computer graphics
Unidades de Procesamiento Gráfico (GPU)
Compute Unified Device Architecture (CUDA)
Rights
License
Acceso abierto
Description
Summary:Visualization of vector fields plays an important role in research activities nowadays -- Web applications allow a fast, multi-platform and multi-device access to data, which results in the need of optimized applications to be implemented in both high-performance and low-performance devices -- Point trajectory calculation procedures usually perform repeated calculations due to the fact that several points might lie over the same trajectory -- This paper presents a new methodology to calculate point trajectories over highly-dense and uniformly-distributed grid of points in which the trajectories are forced to lie over the points in the grid -- Its advantages rely on a highly parallel computing architecture implementation and in the reduction of the computational effort to calculate the stream paths since unnecessary calculations are avoided, reusing data through iterations -- As case study, the visualization of oceanic currents through in the web platform is presented and analyzed, using WebGL as the parallel computing architecture and the rendering Application Programming Interface