Multi-core parallelism for plane sweep algorithms as a foundation for GIS operations

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• 作者：Mark McKenney ; Roger Frye ; Mathew Dellamano ; Kevin Anderson…
• 关键词：Plane sweep ; Parallel algorithms ; Multi ; core ; Spatial decomposition ; Acceleration
• 刊名：GeoInformatica
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：21
• 期：1
• 页码：151-174
• 全文大小：
• 刊物类别：Earth and Environmental Science
• 刊物主题：Geographical Information Systems/Cartography; Data Structures, Cryptology and Information Theory; Computer Science, general; Information Storage and Retrieval; Multimedia Information Systems;
• 出版者：Springer US
• ISSN：1573-7624
• 卷排序：21

文摘

The plane sweep algorithm is a foundational algorithm for many geometric and spatial computations; thus, improvements in the algorithm have far reaching effects in many applications. In this paper, we examine the performance of the serial plane sweep algorithm, and introduce a parallelization technique for the algorithm that is suitable to multi-core computers. The parallelization technique is described in detail and shown to be correct. Finally, experiments are performed using multiple data sets on computers with varying numbers of processing cores. We show that our algorithm achieves significant speedups over the serial plane sweep algorithm using a wide range of input parameters; thus, our algorithm achieves good performance without the need to tune the input parameters for specific input cases.