Conference Information

EGPGV 2017: Eurographics Symposium on Parallel Graphics and Visualization

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Submission Date:
2017-03-06
Notification Date:
2017-04-21
Conference Date:
2017-06-12
Location:
Barcelona, Spain
Viewed: 13284   Tracked: 1   Attend: 0

Call For Papers

EGPGV 2017 (Eurographics Symposium on Parallel Graphics and Visualization) is an academic conference held in Barcelona, Spain on 2017-06-12. The paper submission deadline is 2017-03-06. Acceptance notifications are sent on 2017-04-21.

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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