DocumentCode :
2101726
Title :
Parallel Implementation of Mesh Simplification on a Beowulf Cluster
Author :
Yongquan, Lu ; Pengdong, Gao ; Chu, Qiu ; Jintao, Wang ; Rui, Lv
Author_Institution :
High Performance Comput. Center, Commun. Univ. of China, Beijing, China
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
160
Lastpage :
164
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.
Keywords :
distributed memory systems; input-output programs; mesh generation; parallel processing; resource allocation; workstation clusters; Beowulf cluster; distributed memory; file I/O; load balancing; mesh simplification; parallel implementation; resources utilization; virtual memory system; Adaptation model; Clustering algorithms; Computational modeling; IEEE Computer Society; Parallel algorithms; Partitioning algorithms; Sorting; Beowulf cluster; distributed memory; mesh simplification; parallel implementation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Computing and Applications to Business Engineering and Science (DCABES), 2010 Ninth International Symposium on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7539-1
Type :
conf
DOI :
10.1109/DCABES.2010.37
Filename :
5573213
Link To Document :
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