Difference between revisions of "Supercomputing"

From GRASS-Wiki
Jump to: navigation, search
(Creation of a page for GRASS GIS and supercomputing (HPC, HTC))
 
m (More links collected from related thread in the grass-user mailing list)
Line 5: Line 5:
  
 
= Overview of GRASS GIS in supercomputing environments =
 
= Overview of GRASS GIS in supercomputing environments =
 +
 +
* [https://vs.sav.sk/?lang=en&section=departments&sub=vvt&sub2=services Supercomputer "Aurel"], 4096 CPU cores (Power7 architecture), features GRASS GIS 7.4
 +
* 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]
  
 
= Processing Practices =
 
= Processing Practices =
Line 23: Line 26:
 
* 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/
 +
* [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)]
 +
 +
== Publications ==
 +
 +
* [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 04:28, 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