2nd International Workshop on Advances on Distributed and Parallel Computer Graphics and Artificial (DCG-AI 2012)
Venue: University of Victoria
|Event Date/Time: Nov 12, 2012||End Date/Time: Nov 14, 2012|
|Registration Date: Jun 30, 2012|
|Early Registration Date: Jun 30, 2012|
|Abstract Submission Date: May 15, 2012|
|Paper Submission Date: May 15, 2012|
The Second International Workshop on Advances on Distributed and Parallel Computer Graphics and Artificial Intelligence is dedicated to the dissemination and evaluation of original contributions related to novel techniques and methods that optimize computer graphics methods, paying special attention to the use and application of Artificial Intelligence and Softcomputing techniques.
In particular, this workshop will discuss the relevant advances that involve distributed or parallel computing to distribute the workload of the graphic methods, thus optimizing the time spent in the related complex processes. Within this context, the use of Artificial Intelligence techniques is particularly important not only to address this challenge but also to improve the final results.
This international workshop also aims to provide a forum for the discussion of current related-works and future directions in this challenging and promising research area. The
All papers should have a direct relation to some aspect of parallelism in graphics or visualization such as multi-core computing, multi-pipe GPU rendering/computing, distributed systems, clusters or grid environments, and the empirical use of Artificial Intelligence and Softcomputing techniques to solve related problems.
The main topics areas include, but are not limited to:
* Realistic Rendering.
* GPU-Based Applications.
* Frameworks and Architectures for Rendering.
* Simulations for Interactive Visualization.
* Large and high resolution displays.
* Computer Graphics for Engineering and Scientific Applications.
* Real-Time Rendering.
* Multimodal applications.
* Scheduling, memory management and data coherence.
* Volume rendering.
* Large data set visualization.
* Efficient graphics.
* Other aspects of computer graphics and visualization.