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EGPGV 2017 : Eurographics Workshop on Parallel Graphics and Visualization

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Conference Series : Eurographics Workshop on Parallel Graphics and Visualization
 
Link: http://www.vis.uni-stuttgart.de/egpgv/egpgv2017/
 
When Jun 12, 2017 - Jun 13, 2017
Where Barcelona, Spain
Submission Deadline Mar 6, 2017
Notification Due Apr 20, 2017
Final Version Due Apr 27, 2017
Categories    computer graphics   vizualization   parallel computing
 

Call For Papers

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

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