Proceedings of the Workshop on Virtual Environments 2003 2003
DOI: 10.1145/769953.769963
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ViSTA FlowLib - framework for interactive visualization and exploration of unsteady flows in virtual environments

Abstract: In the past a lot of work has been invested in various aspects of an interactive visualization of CFD simulation data. This includes e.g. increasing the rendering speed and responsiveness of complex visualizations, using and enhancing multimodal user interfaces, and incorporating parallel approaches for an efficient extraction of flow properties and their respective visual representation. Still, only few projects combine the significant advances in these areas. In this paper, we describe our software framework… Show more

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Cited by 33 publications
(14 citation statements)
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“…The end of such a pipeline yields a set of polygons and texture information needed for the rendering process (cf. Although VTK also offers rendering capabilities, this task is taken over by ViSTA FlowLib [12]. The main goal of this toolkit is the time-correct visualization of unsteady datasets.…”
Section: The Frameworkmentioning
confidence: 99%
“…The end of such a pipeline yields a set of polygons and texture information needed for the rendering process (cf. Although VTK also offers rendering capabilities, this task is taken over by ViSTA FlowLib [12]. The main goal of this toolkit is the time-correct visualization of unsteady datasets.…”
Section: The Frameworkmentioning
confidence: 99%
“…The system was extended to the Distributed Virtual Windtunnel, a distributed, parallel system, where an HPC machine was used to handle costly computations of visualization primitives [3]. The ViSTA FlowLib system by Schirski et al [8] follows a similar approach albeit specifically targeting the analysis of transient simulation data.…”
Section: Related Workmentioning
confidence: 99%
“…Fig. 10 Although VTK also offers rendering capabilities, this task is taken over by ViSTA FlowLib [12]. The main goal of this toolkit is the time-correct visualization of unsteady datasets.…”
Section: The Frameworkmentioning
confidence: 99%