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Accelerating the Calculation of Minimum Set of Viewpoints for Maximum Coverage Over Digital Elevation Model Data by Hybrid Computer Architecture and Systems by Chenggang Lai; Miaoqing Huang; Xuan Shi is a Social Sciences article available to read on EtoBox.

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This paper introduces how to accelerate the calculation of the minimum set of viewpoints for the maximum coverage over digital elevation model data using Intel's Xeon Phi and a computer cluster equipped with Intel's Many-Integrated-Core (MIC) coprocessors. This data and computation intensive process consists of a series of geocomputation tasks, including 1) the automatic generation of control viewpoints through map algebra calculation and hydrological modeling approaches; 2) the creation of the joint viewshed derived from the viewshed of all viewpoints to establish the maximum viewshed coverage of the given digital elevation model (DEM) data; and 3) the identification of a minimum set of viewpoints that cover the maximum terrain area of the joint viewshed. The parallel implementation on the hybrid computer cluster was able to achieve more than 100× performance speedup in comparison to the sequential implementation. The outcome of the computation has broad societal impacts since the research questions and solutions can be applied to real-world applications and decision-making practice.

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Author

Chenggang Lai; Miaoqing Huang; Xuan Shi

Publisher

ACM

Published

2017

Language

EN

Field

Social Sciences (Physical Sciences)