[hpc-announce] EGPGV 2021 Call for Papers (regular deadlines)

[Markus Hadwiger]

*Please note the new abstract+paper submission deadlines below, which 
are not the same deadlines as the previous CfP for early submissions*

EGPGV 2021 -- Call for Papers

The Eurographics Symposium on Parallel Graphics and Visualization 
(EGPGV) aims to foster the exchange of experiences and knowledge on 
exploiting and defining new trends in parallel graphics and 
visualization. This area is of growing importance due to the rapidly 
increasing 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.

EGPGV 2021 will take place on June 14, 2021, and be co-located with 
EuroVis 2021, held June 14-18, 2021, in Zurich, Switzerland.

The proceedings of EGPGV 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.

EGPGV seeks papers on graphics and visualization that involve any type 
of parallel computing, and/or focus on very large data sets. Papers on 
techniques, data structures, algorithms, systems, and applications are 
welcomed. Parallel computing is broadly defined, including 
high-performance computing and cloud environments, (multi-)GPU computing 
and heterogeneous, hybrid architectures, and shared and/or distributed 
memory architectures. Further, papers focused on processing very large 
data sets (either for visualization or graphics) are welcomed, even if 
they do not have a particular focus on parallelism.

Typical symposium topics include:

- Computationally and data-intensive rendering
- Scientific visualization (e.g., volume, flow, and tensor visualization)
- Information visualization and visual analytics
- In situ analytics and in situ visualization
- Out-of-core processing of large data sets for visualization or graphics
- 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
- Parallelization approaches and algorithms, such as MapReduce
- Database-related methods, algorithms or approaches, and query-based 
visualization
- Advanced hardware for data handling or visualization
- Large and high-resolution displays, virtual environments
- Scientific, engineering, and industrial applications
- Data analytics on large scientific data sets
- Machine learning as applied to parallel graphics, visualization and/or 
large data analytics

In general, appropriate topics for the symposium fall into one of four 
categories:

(1) parallel graphics,
(2) rendering of very large data sets,
(3) parallel visualization and analytics, and
(4) processing of large data sets for visualization or analytics.

We already had an early submission deadline last December, and we are 
now asking for submissions to the regular submission deadline given 
below. Please notice also that this year there is again an abstract 
submission deadline one week in advance to the paper submission deadline.

For additional information regarding paper submission and publication, 
please contact the program chairs.

EGPGV again calls for Full Papers (8 to 10 pages) and Short Papers (up 
to 4 pages) in Eurographics format. The EGPGV webpage 
(https://www.egpgv.org) will be updated soon with more details on 
submission.

Important Dates:

Feb 26, 2021 - Abstract Submission Deadline
Mar 05, 2021 - Paper Submission Deadline
Apr 12, 2021 - Notification

For additional information, please contact us via papers at egpgv.org.

EGPGV Leadership:

Symposium Chair: Markus Hadwiger, KAUST, Saudi Arabia
Program Co-Chair: Matthew Larsen, Lawrence Livermore, USA
Program Co-Chair: Filip Sadlo, Heidelberg University, Germany

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