A GPU-Based Parallel Processing Method for Slope Analysis in Geographic computation'

被引：3
|
作者：
Lv Minhui [1 ,2 ]
Xiong Wei [3 ]
Cai Lei [3 ]
机构：
[1] Huazhong Univ Sci & Technol, Shchool Management, Wuhan 430074, Peoples R China
[2] Naval Univ Engn, Dept Equipment Econ & Management, Wuhan 430033, Peoples R China
[3] Natl Univ Def Technol, Coll Elect Sci & Engn, Changsha 410073, Peoples R China
来源：
MATERIALS PROCESSING TECHNOLOGY II, PTS 1-4 | 2012年 / 538-541卷
关键词：
graphic processing unit (GPU); parallel computing; slope analysis; CUDA;
D O I：
10.4028/www.scientific.net/AMR.538-541.625
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Nowadays, geographical computation presents to be distributed, parallel, and diversification application trend. Influence of problem scale and response speed requirement received more attention. And high performance computational systems, such as "TianHe 1-A", provides a new generation of hardware supports. In order to make full use of these high performance computational resources, appropriate and efficient parallel algorithms are needed. New parallel computing optimization technique of the geography is proposed in this paper by designing new parallel algorithms for slope analysis. We implement it based on CUDA. Experimental results with random DEM data in uniform distribution validate our methods.
引用
收藏
页码：625 / +
页数：2
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