“Exploring Gigabyte Data Sets in Real Time: Algorithms, Data Management and Time-Critical Design” by Bryson, Cox and Haimes

  • ©Steve T. Bryson, Michael Cox, and Rob Haimes

Conference:


Entry Number: 02

Title:

    Exploring Gigabyte Data Sets in Real Time: Algorithms, Data Management and Time-Critical Design

Course Organizer(s):



Presenter(s):



Abstract:


    Prerequisites
    Familiarity with the basics of scientific visualization and three-dimensional computer graphics.

    Description
    Modern data sets arising from computational physics are extremely large and involve complex, difficult-to-exhibit phenomena. “Real-time” interfaces have proven useful for analysis of these data sets, but “real-time” performance has been difficult to achieve with such large amounts of data. This course discussed the issues that arise in real-time interactive visualization of very large (>100 gigabytes) data sets and presented solution strategies that emphasize feature detection and time-critical design that impacts architectures, interfaces, algorithms, and data management.

    Topics Covered
    Architectures and algorithms for near-real-time interactive visualization, including fast access to data on disk, extraction of interesting features, and time-critical visualization techniques.


Contributed By:


    Mary Whitton

Location:


    Charles Babbage Institute Archives, University of Minnesota

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