Supercomputing

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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

Past:

  • 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

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