EGPGV: Eurographics Workshop on Parallel Graphics and Visualization

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2018 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
EGPGV 2017 Eurographics Workshop on Parallel Graphics and Visualization
Jun 12, 2017 - Jun 13, 2017 Barcelona, Spain Mar 6, 2017
EGPGV 2013 Eurographics 2013 Symposium on Parallel Graphics and Visualization
May 4, 2013 - May 5, 2013 Girona, Spain Feb 3, 2013
EGPGV 2012 Eurographics Symposium on Parallel Graphics and Visualization
May 13, 2012 - May 14, 2012 Cagliari, Italy Feb 12, 2012 (Feb 5, 2012)
EGPGV 2011 Eurographics 2011 Symposium on Parallel Graphics and Visualization
Apr 10, 2011 - Apr 11, 2011 Bangor, Wales, Uk Jan 21, 2011 (Jan 15, 2011)
 
 

Present CFP : 2017

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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