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Visualization has become an essential tool in scientific research, spanning many areas of science and engineering research and design. As complexity and data size have scaled dramatically, so have the requirements for processing, managing, and storing the enormous amounts of data needed for scientific visualization and analysis.

Join our expert panel as they share first-hand experiences in
conceptualization, planning, design, and implementation of visualization solutions, from entry-level to the largest clusters and walls.

Learn about:

• key architecture components, such as computational power, high-speed storage, and bandwidth

• issues involved in planning and implementing large-scale infrastructures to enhance problem solving

• the compute visualization cycle

• bottlenecks in the visualization pipeline

• collaborative utilization of visualization resources

• scheduling of shared resources and reducing channel contention

• data parallelism, hybrid environments, and using GPU technologies

• migrating an existing software infrastructure

• future evolution, including data curation and petascale visualization

Join our panel of experts from Florida State University High Performance Computing Facility, Texas Advanced Computing Center, University of Texas, and Dell’s Advanced Systems Group for a lively discussion on visualization best practices in your own environment.

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