Difference between revisions of "Supercomputing"

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(Creation of a page for GRASS GIS and supercomputing (HPC, HTC))
 
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= Overview of GRASS GIS in supercomputing environments =
 
= Overview of GRASS GIS in supercomputing environments =
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* [https://vs.sav.sk/?lang=en&section=departments&sub=vvt&sub2=services Supercomputer "Aurel"], 4096 CPU cores (Power7 architecture), features GRASS GIS 7.4
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* GRASS GIS in JRC's JEODPP, [https://doi.org/10.1016/j.future.2017.11.007 A versatile data-intensive computing platform for information retrieval from big geospatial data]
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* [https://projects.ncsu.edu/hpc//Software/Software.php henry2 at NCSU] (Intel Xeon based Linux cluster; GRASS GIS 7.2.0 installed around 2017)
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* [https://wiki.ncsa.illinois.edu/pages/viewpage.action?pageId=47294247 ROGER, the CyberGIS supercomputer] at NCSA UIUC (batch compute nodes: 24x, 10 cores, 2.6 GHz, 256 GB RAM, 500 GB of local storage, cluster-wide General Parallel File System (GPFS) 4.5PB; GRASS GIS available alongside GDAL, PDAL, Geotools, and R)
  
 
= Processing Practices =
 
= Processing Practices =
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See page [[Parallel GRASS jobs]] for Cluster and Grid computing with parallelized code, Job scheduler, and GRASS on a cluster
  
 
= See also =
 
= See also =
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* https://fosdem.org/2018/schedule/event/geo_grass/
 
* https://fosdem.org/2018/schedule/event/geo_grass/
 
* https://archive.fosdem.org/2015/schedule/event/grass_7/
 
* https://archive.fosdem.org/2015/schedule/event/grass_7/
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* [http://gfzpublic.gfz-potsdam.de/pubman/item/escidoc:100071:1/component/escidoc:100070/5_GISDAY-2012_loewe_thaler_State_of_the_Cluster_bib.pdf%3Bjsessionid=87D8757B6257885C6 State of GIS at the High Performance Computing Cluster (2012)]
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== 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:
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* [http://www.mdpi.com/si/15134 Special issue "High-Performance Computing in Geoscience and Remote Sensing"], Sensors (ISSN 1424-8220; CODEN: SENSC9)
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== Miscellaneous ==
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* [http://europa.eu/!qk37Tr The European High-Performance Computing Joint Undertaking - EuroHPC]

Latest revision as of 06:16, 29 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 page Parallel GRASS jobs for Cluster and Grid computing with parallelized code, Job scheduler, and GRASS on a cluster

See also

Related wiki pages

Presentations

Publications

Upcoming in 2018:

Miscellaneous