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Now showing 1 - 5 of 5
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    GRAPHICS PROGRAMMING FOR KNOWLEDGE-GUIDED INTERACTION
    (The Eurographics Association, 1985) Tibbert, Lee; Bergeron, R. Daniel; C.E. Vandoni
    This paper describes a design approach that combines knowledge engineering techniques with an interactive graphics program. A prototype for specifying computer systems interactively is used to demonstrate the design approach. The program incorporates a rule-based knowledge engineering module which allows for both data base consistency and the ability to guide the user through an interactive dialogue.
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    Large Data Visualization on Distributed Memory Multi-GPU Clusters
    (The Eurographics Association, 2010) Fogal, Thomas; Childs, Hank; Shankar, Siddharth; Krüger, Jens; Bergeron, R. Daniel; Hatcher, Philip; Michael Doggett and Samuli Laine and Warren Hunt
    Data sets of immense size are regularly generated on large scale computing resources. Even among more traditional methods for acquisition of volume data, such as MRI and CT scanners, data which is too large to be effectively visualized on standard workstations is now commonplace. One solution to this problem is to employ a 'visualization cluster,' a small to medium scale cluster dedicated to performing visualization and analysis of massive data sets generated on larger scale supercomputers. These clusters are designed to fit a different need than traditional supercomputers, and therefore their design mandates different hardware choices, such as increased memory, and more recently, graphics processing units (GPUs). While there has been much previous work on distributed memory visualization as well as GPU visualization, there is a relative dearth of algorithms which effectively use GPUs at a large scale in a distributed memory environment. In this work, we study a common visualization technique in a GPU-accelerated, distributed memory setting, and present performance characteristics when scaling to extremely large data sets.
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    A Reference Model for the Visualisation of Multi-Dimensional Data
    (Eurographics Association, 1989) Bergeron, R. Daniel; Grinstein, Georges G.
    This paper presents a reference model for the development of systems for the visualization of multidimensional data. The purpose of the reference model is to build a conceptual basis for thinking about multi-dimensional visualization and for use in developing visualization environments. We describe the reference model in terms of the fundamental concepts of PHIGS (Programmer’s Hierarchical Interactive Graphics System), but extend those concepts to the representation of objects of arbitrary dimensionality.
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    SUDS - SUrface Description System
    (The Eurographics Association, 1984) Moretonl, Henry P.; Bergeron, R. Daniel; K. BO and H.A. TUCKER
    A library of routines has been developed for the design of arbitrarily curved three-dimensional surfaces. The routines provide for the description and editing of surfaces. Surfaces are defined by families of parametric curves which are blended, using linear interpolation, approximating splines or interpolating splines. Each component curve is in turn defined by a set of ordered control points which are blended using any of these techniques. This approach affords greater flexibility than more classical methods such as bi-variate patches. The editing facilities include the basic spatial transforms as well as a full complement of attribute setting functions.
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    Uncertainty Visualization Methods in Isosurface Rendering
    (Eurographics Association, 2003) Rhodes, Philip J.; Laramee, Robert S.; Bergeron, R. Daniel; Sparr, Ted M.
    We describe two techniques for rendering isosurfaces in multiresolution volume data such that the uncertainty (error) in the data is shown in the resulting visualization. In general the visualization of uncertainty in data is difficult, but the nature of isosurface rendering makes it amenable to an effective solution. In addition to showing the error in the data used to generate the isosurface, we also show the value of an additional data variate on the isosurface. The results combine multiresolution and uncertainty visualization techniques into a hybrid approach. Our technique is applied to multiresolution examples from the medical domain.