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Computing, Environment and Life Sciences Mathematics and Computer Science Division
"GPU Friendly Data Structures and Algorithms for Advanced Visualization"

DATE: March 18, 2011 to March 18, 2011
TIME: 2:00 PM - 3:00 PM
SPEAKER: Xavier Tricoche, Assistant Professor of Computer Science at Purdue University
LOCATION: Building 240, Seminar Room 4301, Argonne National Laboratory
HOST: Mike Papka

Description:
Abstract:
The data explosion in computational sciences and engineering requires visualization algorithms to be at their core high-performance data processing methods. The corresponding need for high compute power combined with the vital role played by user interaction in an effective visualization experience puts a natural emphasis on techniques that can harness the ever growing power of the GPU. While visualization research has long been focussing its efforts on GPU-friendly solutions, the mapping of a number of visualization techniques that have gained popularity in recent years continues to pose a significant challenge.

This talk will discuss recent and ongoing research done in my group on innovative data structures and parallel algorithms that enable advanced scalar, vector, and tensor visualization techniques on modern GPUs. The topics will include a new flexible data representation and its application to volume rendering and ray tracing of dynamic scenes, a new hierarchical data structure that allows for the interactive exploration of transient flow structures at arbitrary resolution, and a hybrid CPU-GPU method for the extraction of ridge meshes of high quality at unprecedented rates with applications in engineering and medical imaging.


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