Call for Papers
Eurographics 2008 Symposium on Parallel
Graphics and Visualization (EGPGV '08)
In Cooperation with ACM SIGGRAPH
Monday / Tuesday, April 14-15, 2008
Crete, Greece
Co-located with Eurographics '08
http://vidi.cs.ucdavis.edu/EGPGV08
Aims and Scope of the Symposium
Following the success of previous EGPGV symposia, we are happy to announce the 8th Eurographics Symposium on Parallel Graphics and Visualization. The new generation of parallel architectures introduce many exciting research opportunities. The extreme-scale of these new parallel systems redefines the scalability problem of many graphics and visualization applications. The aim of this symposium is to foster greater exchange of experiences and knowledge of parallel and distributed computing and its application to all aspects of computer graphics and data visualization.
Topics of interest include but not limited to:
- Cluster based graphics and visualization
- Efficient graphics and visualization for shared and distributed
memory systems
- Parallel and distributed systems for large and high resolution
displays
- Parallel and distributed systems for photo-realistic rendering
- Parallel volume rendering
- Data coherence in graphics algorithms
- Large data set visualization
- Realistic rendering of large models
- Large scale simulations and graphics rendering
- Graphics and visualization in Grid environments
- Parallel simulations for interactive applications
- Parallelism within GPU architectures
- GPU and GPGPU clusters
- Parallel graphics and visualization on multi-core CPUs and other
parallel architectures
About the Symposium
The EGPGV Symposium is co-located with the Eurographics Annual Conference, which will take place from April 14-18. Eurographics Annual Conference web page: http://www.ics.forth.gr/eg2008/
The proceedings of the Symposium will be published in the Eurographics Proceedings Series and on the Eurographics Digital Library. There is a page limit of eight pages for the submitted papers, which must be formated according to the EG publication style.
Attention: This event uses a double-blind reviewing approach, so please remove all personal data (like author, affiliation etc.) from your submission!