Hardware-accelerated Web Visualization of Vector Fields. Case Study in Oceanic Currents
Fecha
2012
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Resumen
Visualization of vector fields plays an important role in research activities nowadays -- Increasing web applications allow a fast, multi-platform and multi-device access to data -- As a result, web applications must be optimized in order to be performed heterogeneously as well as on high-performance as on low capacity devices -- This paper presents a hardware-accelerated scheme for integration-based flow visualization techniques, based on a hierarchical integration procedure which reduces the computational effort of the algorithm from linear to logarithmic, compared to serial integration methodologies -- The contribution relies on the fact that the optimization is only implemented using the graphics application programming interface (API), instead of requiring additional APIs or plug-ins -- This is achieved by using images as data storing elements instead of graphical information matrices -- A case study in oceanic currents is implemented
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Compute Unified Device Architecture (CUDA), Unidades de Procesamiento Gráfico (GPU), API (Application Programming Interface), WebGL (Web Graphics Library), Visualizadores de flujos
Citación
@inproceedings{maristizabal2012hardware, author ={Mauricio Aristizabal and John Edgar Congote and Alvaro Segura and Aitor Moreno and Harbil Arriegui and Oscar E. Ruiz}, title ={Hardware-accelerated Web Visualization of Vector Fields. Case Study in Oceanic Currents}, booktitle ={IVAPP-2012. International Conference on Computer Vision Theory and Applications}, year ={2012}, address ={Rome, Italy}, editor ={Paul Richard and Martin Kraus and Robert S. Laramee and Jose Braz}, month ={February}, organization ={INSTICC}, pages ={759-763}, publisher ={SciTePress}, isbn ={978-989-8565-02-0}, note={ -- Accepted as poster, -- already presented}, abstract={Visualization of vector fields plays an important role in research activities nowadays. Increasing web applications allow a fast, multi-platform and multi-device access to data. As a result, web applications must be optimized in order to be performed heterogeneously as well as on high-performance as on low capacity devices. This paper presents a hardware-accelerated scheme for integration-based flow visualization techniques, based on a hierarchical integration procedure which reduces the computational effort of the algorithm from linear to logarithmic, compared to serial integration methodologies. The contribution relies on the fact that the optimization is only implemented using the graphics application programming interface (API), instead of requiring additional APIs or plug-ins. This is achieved by using images as data storing elements instead of graphical information matrices. A case study in oceanic currents is implemented, showing that the procedure requires 32 integration steps to obtain good visual results.} }