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

Markus Hadwiger markus.hadwiger at kaust.edu.sa
Fri Feb 26 10:30:06 CST 2021


*** Please note the extended abstract+paper submission deadlines below ***

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 (virtually) 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:

Mar 05, 2021 - Abstract Submission Deadline
Mar 12, 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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