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Parallelization of interpolation, solar radiation and water flow simulation modules in GRASS GIS using OpenMP

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F17%3A00328887" target="_blank" >RIV/68407700:21240/17:00328887 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.cageo.2017.07.007" target="_blank" >http://dx.doi.org/10.1016/j.cageo.2017.07.007</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.cageo.2017.07.007" target="_blank" >10.1016/j.cageo.2017.07.007</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Parallelization of interpolation, solar radiation and water flow simulation modules in GRASS GIS using OpenMP

  • Original language description

    In this paper, we describe the parallelization of three complex and computationally intensive modules of GRASS GIS using the OpenMP application programming interface for multi-core computers. These include the v.surf.rst module for spatial interpolation, the r.sun module for solar radiation modeling and the r.sim.water module for water flow simulation. We briefly describe the functionality of the modules and parallelization approaches used in the modules. Our approach includes the analysis of the module's functionality, identification of source code segments suitable for parallelization and proper application of OpenMP parallelization code to create efficient threads processing the subtasks. We document the efficiency of the solutions using the airborne laser scanning data representing land surface in the test area and derived high-resolution digital terrain model grids. We discuss the performance speed-up and parallelization efficiency depending on the number of processor threads. The study showed a substantial increase in computation speeds on a standard multi-core computer while maintaining the accuracy of results in comparison to the output from original modules. The presented parallelization approach showed the simplicity and efficiency of the parallelization of open-source GRASS GIS modules using OpenMP, leading to an increased performance of this geospatial software on standard multi-core computers.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Computers & Geosciences

  • ISSN

    0098-3004

  • e-ISSN

    1873-7803

  • Volume of the periodical

    107

  • Issue of the periodical within the volume

    OCT

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    8

  • Pages from-to

    20-27

  • UT code for WoS article

    000411418600003

  • EID of the result in the Scopus database