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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lu Yongquan Gao Pengdong Qiu Chu Wang Jintao Lv Rui |
| Copyright Year | 2010 |
| Abstract | The parallel implementation of a novel mesh simplification method is introduced detailedly in this paper, which is based on a Beowulf cluster system. Taking full advantage of the distributed memory and high performance network, we can simplify out-of-core models quickly and avoid thrashing the virtual memory system. In addition, the file I/O and load balancing are also considered to make sure a near optimal utilization of the computational resources as well as obtaining high quality output. A set of numerical experiments have demonstrated that our parallel implementation can not only reduce the execution time greatly but also obtain higher parallel efficiency. |
| Starting Page | 160 |
| Ending Page | 164 |
| File Size | 383839 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424475391 |
| e-ISBN | 9781424475407 |
| DOI | 10.1109/DCABES.2010.37 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-08-10 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Distributed memory IEEE Computer Society Parallel implementation Mesh simplification Computational modeling Adaptation model Beowulf cluster Clustering algorithms Partitioning algorithms Parallel algorithms Sorting |
| Content Type | Text |
| Resource Type | Article |
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