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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gerndt, A. Sarholz, S. Wolter, M. Mey, D. Bischof, C. Kuhlen, T. |
| Copyright Year | 2006 |
| Description | Author affiliation: Virtual Reality Group, RWTH Aachen Univ. (Gerndt, A.) |
| Abstract | Extraction of complex data structures like vector field topologies in large-scale, unsteady flow field datasets for the interactive exploration in virtual environments cannot be carried out without parallelization strategies. We present an approach based on Nested OpenMP to find critical points, which are the essential parts of velocity field topologies. We evaluate our parallelization scheme on several multi-block datasets, and present the results for various thread counts and loop schedules on all parallelization levels. Our experience suggests that upcoming massively multi-threaded processor architectures can be very advantageously for large-scale feature extractions |
| Sponsorship | IEEE Comput. Soc. ACM Sigarch |
| Starting Page | 46 |
| Ending Page | 46 |
| File Size | 1015715 |
| Page Count | 1 |
| File Format | |
| ISBN | 0769527000 |
| DOI | 10.1109/SC.2006.45 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-11-11 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computational fluid dynamics Topology Virtual environment Concurrent computing Data flow computing Virtual reality Large-scale systems Feature extraction Visualization Permission |
| Content Type | Text |
| Resource Type | Article |
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