Conference Information
EGPGV 2017 : Eurographics Symposium on Parallel Graphics and Visualization
http://www.vis.uni-stuttgart.de/egpgv/egpgv2017/
Submission Date:
2017-03-06
Notification Date:
2017-04-21
Conference Date:
2017-06-12
Location:
Barcelona, Spain
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Conference Location
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Call For Papers
The importance of parallel computing is increasing rapidly with the ubiquitous availability of multi-core CPUs, GPUs, and cluster systems. Computationally demanding and data-intensive applications in graphics and visualization are strongly affected by this trend and require novel efficient parallel solutions. The aim of this symposium is to foster the exchange of experiences and knowledge exploiting and defining new trends in parallel graphics and visualization. The proceedings of the EGPGV Symposium will be published in the Eurographics Proceedings Series and in the Eurographics Digital Library. Best papers from the EGPGV symposium will be invited to submit an extended journal version to IEEE Transactions on Visualization and Computer Graphics.

Focusing on parallel computing, the symposium seeks papers on graphics and visualization techniques, data structures, algorithms, and systems for:

    Large-data
    HPC and cloud environments
    (multi-)GPU computing, and heterogeneous, hybrid architectures
    Shared and/or distributed memory architectures
    Out-of-core

The symposium topics include:

    Computationally and data intensive rendering
    Scientific visualization (volume rendering, flow, and tensor visualization)
    Information visualization and visual analytics
    In-situ analytics and in-situ visualization
    Simulations for virtual environments (physics-based animation, collision detection, acoustics)
    Mesh processing, level-of-detail, and geometric methods
    Visual computing (image- and video-based rendering, image processing and exploitation, segmentation)
    Scheduling, memory management and data coherence
    Distributed, parallel or multi-threaded approaches
    MapReduce-based and database-related methods, algorithms or approaches, query based visualization
    Advanced hardware for data handling or visualization
    Large and high resolution displays, virtual environments
    Scientific, engineering, and industrial applications
Last updated by Dou Sun in 2017-01-30
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