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