explorations of the implementation of a parallel idw interpolation algorithm in a linux cluster-based parallel gis
文献类型：期刊论文
| 作者 | Huang Fang ; Liu Dingsheng ; Tan Xicheng ; Wang Jian ; Chen Yunping ; He Binbin |
| 刊名 | Computers and Geosciences
 |
| 出版日期 | 2011 |
| 卷号 | 37期号:4页码:426-434 |
| 关键词 | Computer operating systems Interpolation Numerical control systems Optical radar Parallel architectures Parallel programming |
| ISSN号 | 0098-3004 |
| 中文摘要 | To design and implement an open-source parallel GIS (OP-GIS) based on a Linux cluster, the parallel inverse distance weighting (IDW) interpolation algorithm has been chosen as an example to explore the working model and the principle of algorithm parallel pattern (APP), one of the parallelization patterns for OP-GIS. Based on an analysis of the serial IDW interpolation algorithm of GRASS GIS, this paper has proposed and designed a specific parallel IDW interpolation algorithm, incorporating both single process, multiple data (SPMD) and master/slave (M/S) programming modes. The main steps of the parallel IDW interpolation algorithm are: (1) the master node packages the related information, and then broadcasts it to the slave nodes; (2) each node calculates its assigned data extent along one row using the serial algorithm; (3) the master node gathers the data from all nodes; and (4) iterations continue until all rows have been processed, after which the results are outputted. According to the experiments performed in the course of this work, the parallel IDW interpolation algorithm can attain an efficiency greater than 0.93 compared with similar algorithms, which indicates that the parallel algorithm can greatly reduce processing time and maximize speed and performance. © 2010 Elsevier Ltd. |
| 英文摘要 | To design and implement an open-source parallel GIS (OP-GIS) based on a Linux cluster, the parallel inverse distance weighting (IDW) interpolation algorithm has been chosen as an example to explore the working model and the principle of algorithm parallel pattern (APP), one of the parallelization patterns for OP-GIS. Based on an analysis of the serial IDW interpolation algorithm of GRASS GIS, this paper has proposed and designed a specific parallel IDW interpolation algorithm, incorporating both single process, multiple data (SPMD) and master/slave (M/S) programming modes. The main steps of the parallel IDW interpolation algorithm are: (1) the master node packages the related information, and then broadcasts it to the slave nodes; (2) each node calculates its assigned data extent along one row using the serial algorithm; (3) the master node gathers the data from all nodes; and (4) iterations continue until all rows have been processed, after which the results are outputted. According to the experiments performed in the course of this work, the parallel IDW interpolation algorithm can attain an efficiency greater than 0.93 compared with similar algorithms, which indicates that the parallel algorithm can greatly reduce processing time and maximize speed and performance. © 2010 Elsevier Ltd. |
| 收录类别 | EI |
| 语种 | 英语 |
| 公开日期 | 2013-10-08 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/16181]  |
| 专题 | 软件研究所_软件所图书馆_期刊论文 |
| 推荐引用方式 GB/T 7714 | Huang Fang,Liu Dingsheng,Tan Xicheng,et al. explorations of the implementation of a parallel idw interpolation algorithm in a linux cluster-based parallel gis[J]. Computers and Geosciences,2011,37(4):426-434. |
| APA | Huang Fang,Liu Dingsheng,Tan Xicheng,Wang Jian,Chen Yunping,&He Binbin.(2011).explorations of the implementation of a parallel idw interpolation algorithm in a linux cluster-based parallel gis.Computers and Geosciences,37(4),426-434. |
| MLA | Huang Fang,et al."explorations of the implementation of a parallel idw interpolation algorithm in a linux cluster-based parallel gis".Computers and Geosciences 37.4(2011):426-434. |
入库方式： OAI收割
来源：软件研究所
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