Difference between revisions of "Supercomputing"

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== Publications ==
 
== Publications ==
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* Alvioli, M., A. C. Mondini, F. Fiorucci, M. Cardinali & I. Marchesini (2018) Topography-driven satellite imagery analysis for landslide mapping, Geomatics, Natural Hazards and Risk, 9:1, 544-567, DOI: [https://doi.org/10.1080/19475705.2018.1458050 10.1080/19475705.2018.1458050]
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* Delucchi, L., Neteler, M. (2011): g.cloud module for GRASS GIS, FOSS4G 2011 Denver, Slides: https://www.slideshare.net/lucadelu/grass-cloud
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* Neteler, M. (2008): Building a cluster for GRASS GIS and other software from the OSGeo stack, https://courses.neteler.org/building-a-cluster-for-grass-gis-and-other-software-from-the-osgeo-stack/
  
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Upcoming in 2018:
 
* [http://www.mdpi.com/si/15134 Special issue "High-Performance Computing in Geoscience and Remote Sensing"], Sensors (ISSN 1424-8220; CODEN: SENSC9)
 
* [http://www.mdpi.com/si/15134 Special issue "High-Performance Computing in Geoscience and Remote Sensing"], Sensors (ISSN 1424-8220; CODEN: SENSC9)
* https://doi.org/10.1080/19475705.2018.1458050
 

Revision as of 08:03, 23 May 2018

This page aims to

  • overview installations of GRASS GIS in supercomputing (HPC, HTC) environments and related applications
  • document best practices of processing big geospatial data, common mistakes and errors and how to work-around them

Overview of GRASS GIS in supercomputing environments

Processing Practices

See also

Related wiki pages

Presentations

Publications

Upcoming in 2018: