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EGPGV 2013 : Eurographics 2013 Symposium on Parallel Graphics and Visualization

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Conference Series : Eurographics Workshop on Parallel Graphics and Visualization
 
Link: http://www.egpgv.org/egpgv2013
 
When May 4, 2013 - May 5, 2013
Where Girona, Spain
Submission Deadline Feb 3, 2013
Categories    computer graphics
 

Call For Papers

The importance of parallel computing is again increasing rapidly with the ubiquitous availability of multi-core CPUs, GPUs as well as cluster systems. Computationally demanding disciplines such as realistic 3D computer graphics and high-performance scientific visualization are strongly affected by this trend and require novel efficient parallel graphics and visualization solutions. All papers should have a direct relation to some aspect of parallelism in graphics or visualization such as multi-core computing, GPU rendering/computing, distributed systems, clusters or grid environments.

The aim of this symposium is to strongly encourage the exchange of experiences and knowledge in novel solutions exploiting and defining new trends in parallel graphics and visualization techniques, including parallel hardware architecture, software tools, and applications.

The proceedings of the Symposium will be published in the Eurographics Proceedings Series and on the Eurographics Digital Library. Note that the best papers from the EGPGV Symposium will be invited to submit extended journal versions to IEEE Transactions on Visualization and Computer Graphics.

The Workshop topics include (but are not limited to) the following:

Photo-realistic rendering
Volume rendering
Large data set visualization
GPGPU applications
Simulations for interactive applications
Cluster based graphics and visualization systems
Large and high resolution displays
Efficient graphics and visualization methods
Out of core rendering from/for multiple resources
Parallel visual computing
Large scale simulations and graphics rendering
Visualization and graphics for scientific, engineering and commercial applications
Graphics and visualization in Grid environments
Multimodal applications
Scheduling, memory management and data coherence
Hybrid distributed/shared memory parallel visualization algorithms

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