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PARALLEL FEATURE EXTRACTION AND TRACKING

This library provides a scalable implemenation of a parallel vortical feature extraction and tracking procedure. The high scalability is achieved with a carefully designed communication strategy for distributed-memory parallel computing platforms.

AUTHOR

Yang Wang, PhD Candidate, Department of Computer Science, University of California, Davis

RELATED PUBLICATIONS

Scalable Parallel Feature Extraction and Tracking for Large Time-varying 3D Volume

Yang Wang, Hongfeng Yu, Kwan-Liu Ma
In Proceedings of EGPGV 2013, pages 17-24.

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ACKNOWLEDGMENTS

These research projects were sponsored in part by U.S. Department of Energy SciDAC Program through grants DE-FC02-06ER25777, DE-CS0005334, and DE-FC02-12ER26072 with program managers Lucy Nowell and Ceren Susut-Bennett.

For further information, please contact Kwan-Liu Ma.