EuroVisSTAR2016

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https://diglib.eg.org/handle/10.2312/15280

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Browsing EuroVisSTAR2016 by Subject "I.3.2 [Computer Graphics]"

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    In Situ Methods, Infrastructures, and Applications on High Performance Computing Platforms
    (The Eurographics Association and John Wiley & Sons Ltd., 2016) Bauer, Andrew C.; Abbasi, Hasan; Ahrens, James; Childs, Hank; Geveci, Berk; Klasky, Scott; Moreland, Kenneth; O'Leary, Patrick; Vishwanath, Venkatram; Whitlock, Brad; Bethel, E. W.; Ross Maciejewski and Timo Ropinski and Anna Vilanova
    The considerable interest in the high performance computing (HPC) community regarding analyzing and visualization data without first writing to disk, i.e., in situ processing, is due to several factors. First is an I/O cost savings, where data is analyzed /visualized while being generated, without first storing to a filesystem. Second is the potential for increased accuracy, where fine temporal sampling of transient analysis might expose some complex behavior missed in coarse temporal sampling. Third is the ability to use all available resources, CPU's and accelerators, in the computation of analysis products. This STAR paper brings together researchers, developers and practitioners using in situ methods in extreme-scale HPC with the goal to present existing methods, infrastructures, and a range of computational science and engineering applications using in situ analysis and visualization.
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    State-of-the-Art Report in Web-based Visualization
    (The Eurographics Association and John Wiley & Sons Ltd., 2016) Mwalongo, Finian; Krone, Michael; Reina, Guido; Ertl, Thomas; Ross Maciejewski and Timo Ropinski and Anna Vilanova
    In this report, we review the current state of the art of web-based visualization applications. Recently, an increasing number of web-based visualization applications have emerged. This is due to the fact that new technologies offered by modern browsers greatly increased the capabilities for visualizations on the web. We first review these technical aspects that are enabling this development. This includes not only improvements for local rendering like WebGL and HTML5, but also infrastructures like grid or cloud computing platforms. Another important factor is the transfer of data between the server and the client. Therefore, we also discuss advances in this field, for example methods to reduce bandwidth requirements like compression and other optimizations such as progressive rendering and streaming. After establishing these technical foundations, we review existing web-based visualization applications and prototypes from various application domains. Furthermore, we propose a classification of these web-based applications based on the technologies and algorithms they employ. Finally, we also discuss promising application areas that would benefit from web-based visualization and assess their feasibility based on the existing approaches.