Performance improvement of viewshed analysis using GPU

N. Stojanović, D. Stojanović
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引用次数: 14

Abstract

In this paper, the implementation of viewshed analysis on many-core GPU (Graphic Processing Unit) is presented. The implementation is based on DEM elevation data and CUDA programming framework to access massively parallel GPU architecture for general purpose computing. Experimental evaluation indicates improvement in performance in respect to CPU-based solution and shows feasibility of using GPU and CUDA for viewshed analysis and similar Geographic Information Systems (GIS) algorithms.
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基于GPU的视角分析性能改进
本文介绍了在多核图形处理器上实现视域分析的方法。实现基于DEM高程数据和CUDA编程框架访问大规模并行GPU架构,用于通用计算。实验评估表明,相对于基于cpu的解决方案,性能有所提高,并显示了使用GPU和CUDA进行视域分析和类似地理信息系统(GIS)算法的可行性。
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