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4 edition of A parallel pipelined renderer for the time-varying volume data found in the catalog.

A parallel pipelined renderer for the time-varying volume data

A parallel pipelined renderer for the time-varying volume data

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  • 29 Currently reading

Published by Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, National Technical Information Service, distributor in Hampton, VA, Springfield, VA .
Written in English

    Subjects:
  • Pipelining (Computers),
  • Parallel computers

  • Edition Notes

    StatementTzi-Cker Chiueh and Kwan-Liu Ma.
    SeriesICASE report -- no. 97-70., [NASA contractor report] -- NASA/CR-97-206275., NASA contractor report -- NASA CR-206275.
    ContributionsMa, Kwan-Liu., Institute for Computer Applications in Science and Engineering.
    The Physical Object
    FormatMicroform
    Pagination1 v.
    ID Numbers
    Open LibraryOL17839147M
    OCLC/WorldCa41618334

    Time-varying data visualization has been an active research area. Various approaches have been proposed to reduce the stor-age, corresponding I/O, and rendering demands for visualizing time-varying data in a more efficient way. Using proper encoding and exploiting temporal coherence or spatial coherence or both, the storage requirements and. which we demonstrate using parallel volume rendering of large data sets to generate high-resolution (up to )im-ages. 2. RELATED WORK Parallel computing has been widely used in many areas of graphics and visualization, such as polygon rendering, iso-surface extraction, particle tracing, and volume rendering.

    We have implemented our volume rendering algorithm for a large volume data of x x dimensions (visible female), and achieved real-time performance (i.e., frames per second) on a. While parallel volume rendering algorithms are available for interactive visualization of large volume data, visualizing time-varying data on a parallel computer requires reading large files continuously or period- ically throughout the course of the visualization process. Chiueh and Ma [1] developed a parallel pipelined.

    "A Parallel Visualization Pipeline for Terascale Earthquake Simulations". with Honfeng Yu and Joel Welling. In Proceeding of Supercomputing Conference, November "I/O Strategies for Parallel Rendering of Large Time-Varying Volume Data". with Hongfeng Yu and Joel Welling. For more information, please visit Dr. Ma’s home page. The Generalized Sensitivity Scatterplot Yu-Hsuan Chan, Carlos Correa, and Kwan-Liu Ma IEEE Transactions on Visualization and Computer Graphics (Accepted for publication) 12, Scatterplots remain a powerful tool to visualize multi-dimensional data. However, accurately understanding the shape of multi-dimensional points.


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A parallel pipelined renderer for the time-varying volume data Download PDF EPUB FB2

A PARALLEL PIPELINED RENDERER FOR TIME-VARYING VOLUME DATA TZI-CKER CHIUEH 1 AND KWAN-LIU MA 2 Abstract. This paper presents a strategy for efficiently rendering time-varying volume data sets on a distributed-memory parallel computer.

Time-varying volume data take large storage space and visualizing them requires. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda). This paper presents a strategy for e#ciently rendering time-varying volume data sets on a distributedmemory parallel computer.

Time-varying volume data take large storage space and visualizing them requires reading large files continuously or periodically throughout the course of the visualization process. A PARALLEL PIPELINED RENDERER FOR TIME-VARYING VOLUME DATA TZI-CKER CHIUEH1 AND KWAN-LIU MA2 Abstract.

This paper presents a strategy for e ciently rendering time-varying volume data sets on a distributed-memory parallelcomputer. Time-varying volume data take large storage space and visualizing them requires.

A Parallel Pipelined Renderer for Time-Varying Volume Data. By Tzi-cker Chiueh and Kwan-liu Ma. Abstract. This paper presents a strategy for e#ciently rendering time-varying volume data sets on a distributedmemory parallel computer.

Time-varying volume data take large storage space and visualizing them requires reading large files continuously Author: Tzi-cker Chiueh and Kwan-liu Ma. Visualizing time-varying volume data take both large storage space and long computation time.

Instead of employing all processors to render one volume at a time, a pipelined rendering approach partitions processors into groups so that multiple volumes can be rendered concurrently.

The overall rendering time is greatly minimized because. A Parallel Pipelined Renderer for the Time-Varying Volume Data. By Kwan-Liu Ma and Tzi-Cker Chiueh. Abstract. This paper presents a strategy for efficiently rendering time-varying volume data sets on a distributed-memory parallel computer.

Time-varying volume data take large storage space and visualizing them requires reading large files. Until recently, the additional costs imposed by time-varying data have made consideration of interactive direct volume rendering impractical. We present a volume rendering system based on a parallel implementation of the Shear-Warp Factorization algorithm that is capable of rendering time-varying 3 data at interactive speeds.

Our pipeline is based on a two-stage compression method that cooperati Technical Section: A decompression pipeline for accelerating out-of-core volume rendering of time-varying data: Computers and Graphics: No 3.

Parallel rendering (or distributed rendering) is the application of parallel programming to the computational domain of computer graphics.

Rendering graphics can require massive computational resources for complex scenes that arise in scientific visualization, medical visualization, CAD applications, and virtual research has also suggested that parallel rendering can be.

Chiueh T, Ma K-L. A parallel pipelined renderer for time-varying volume data. In: Proceedings of the 2nd international symposium on parallel architectures, algorithms and networks (I-SPAN’97), p. 9–   Hence, instead of slow data transmission, key frame extraction and parallel frame interpolation will dominate the rendering efficiency for time-varying data visualization.

Download: Download full-size image; Fig. Overall visualization framework for time-varying data in a large-scale structural dynamic analysis. A complete parallel volume rendering pipeline. To achieve interactive visualization of time-varying data, both the data-input stage and the image-output stage must be able to keep up with the.

render full-resolution time-varying data, such as the Raleigh–Taylor fluid flow data set in Figures 1 and 2, at nearly 5 fps on a CPU, pipe SGI Origin with IR-2 graphics hardware. Because we achieve more than 5 fps for a static volume, rendering isn’t the bottleneck.

The limiting factor for time-varying data sets is the high. visualization pipeline for time-varying unstructured volume data generated from terascale earthquake simulations. In our previous work [16], a parallel volume renderer was devel-oped for visualizing 3D unstructured volume data generated from the same, but smaller scale, earthquake simulation [24].

I/O Strategies for Parallel Rendering of Large Time-Varying Volume Data Hongfeng Yu1, Kwan-Liu Ma1, and Joel Welling2 1University of California at Davis 2 Pittsburgh Supercomputing Center Abstract This paper presents I/O solutions for the visualization of time-varying volume data in a parallel and distributed computing environment.

parallel rendering, PC, pipelining, remote visualization, scien-tific visualization, spatial data structures, texture hardware, time-varying data, volume rendering INTRODUCTION Time-varying volume data sets, which may be obtained from numerical simulations or remote sensing instru-ments, provide scientists insights into the detailed dynam.

Early implementations of volume rendering used brute-force techniques that require on the order of seconds to render typical data sets on a workstation. Algorithms with optimizations that exploit coherence in the data have reduced rendering times to the range of ten seconds but are still not fast enough for interactive visualization.

A parallel pipelined render for time- varying-volume-data. NASA/CR, ICASE Report No. Time-critical multiresolution scene rendering Proceeding of Symposium on Volume.

Get this from a library. A parallel pipelined renderer for the time-varying volume data. [Tzi-cker Chiueh; Kwan-Liu Ma; Institute for Computer Applications in Science and Engineering.]. Generally, multiple values are stored at each data point. As a result, some datasets can easily require hundreds of gigabytes to even terabytes of storage space, which creates challenges for the consequent data-analysis tasks.

This paper describes a framework for interactive distributed visualization of extremely large time-varying volume data. Yu et al. [14] also presented two parallel I/O methods for the visualization of time-varying volume data in a high-performance computing environment.

Peterka et al. [1] have recently performed.While parallel volume rendering algorithms are available for interactive visualization of large volume data, visualizing time-varying data on a parallel computer requires reading large les continuously or period-ically throughout the course of the visualization process.

Chiueh and Ma [1] developed a parallel pipelined renderer for time-varying.data, visualizing time-varying data on a parallel computer requires reading large files continuously or period- ically throughout the course of the visualization process. Chiueh and Ma [l] developed a parallel pipelined renderer for time-varying volume data by partitioning processors into groups to render multiple volumes concurrently.