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Data-Intensive Streamline Tracing
Data-Intensive Streamline Tracing

A data-intensive approach to streamline tracing using the LLNL Rayleigh-Taylor data set. This image shows a uniform seeding strategy throughout the data set with a maximum number of integration steps at 1024.

Code: VisIt and DI-MMAP
Machine: Edge and Flash
Researchers: Ming Jiang, Brian Van Essen, Cyrus Harrison, Maya Gokhale