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An Image-based Visualization Interface for Scientific and Engineering Applications

An Image-based Visualization Interface for Scientific and Engineering Applications. Sun-In Lin, Fang-Pang Lin and Yui-Chung Chen National Center for High Performance Computing, Hsinchu 300, Taiwan. 24-28 September 2001 • Royal Pines Resort Gold Coast, Queensland, Australia. Morale.

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An Image-based Visualization Interface for Scientific and Engineering Applications

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  1. An Image-based Visualization Interface for Scientific and Engineering Applications Sun-In Lin, Fang-Pang Lin and Yui-Chung Chen National Center for High Performance Computing, Hsinchu 300, Taiwan 24-28 September 2001 • Royal Pines ResortGold Coast, Queensland, Australia

  2. Morale • Model-based vs Image-based for Visualization • Ever increased computing power with ever increased computing-resource-hunger applications, e.g. Bioinformatics, CFD etc. • Internet prevails and help forming a heterogeneous distributed and parallel computing environment. There is a trend on an approach of thin client and fat server. The thinnest clients tend to be wireless. The fattest server tends to be supercomputers. • Those scientists and engineers working from place to place require both HPC resources and the ability to visualize the results from usual computers.

  3. Model-based vs Image-based for Visualization • Model-based Visualization • Mainstream visualization methods • Enable high performance, e.g. real-time interactive mode, and high resolution of graphics. • Strong hardware display limitation. • Costly on performance/price for the display. • Image-based Visualization • The original visualization methods before digital era. • Separation between the calculations on visualization and the result display. • Take advantage of recent advance in web technology, which enable platform independent display. • Image compression techniques have reached a mature stage.

  4. IvI (Image-based Visualization Interface): our approach on Image-based Visualization • Requirements: • Internet available and platform independence. • Configurable interface that allows easy replacement of various HPC graphic engines. • Multi-user on-line, i.e. scalability for sizable users. • Virtual reality.

  5. System Architecture

  6. Master-Slave Model for Services of Graphic Engines

  7. Client-Server Model for the Display

  8. The VTK Graphics Engine

  9. The directory tree for the IvI.

  10. IvI: Air Boat Design (1)

  11. IvI: 3D Stereo Air Boat Design (2)

  12. Conclusions • A web-based image-based interface has developed for visualization. • The interface has achieved what we require. • VTK is used as the Graphic Engine. • Security has taken into account for internet. • Virtual Reality is provided by VTK in an interlaced manner, which requires special graphic cards. • The size of users allowed for the system in QoS yet required to test. • The next step: • ubiquitous visualization through wireless network. • HPC issues on graphic engines.

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