← Search

Data · dataset · 2026

A Tutorial for Using 'Rmpi' on the NCAR/Wyoming Supercomputer

Listed in National Center for Atmospheric Research

The recent growth in the size and complexity of climate data as well as the availability of cluster and supercomputing resources has brought parallel programming to the attention of geostatisticans.

Description

The National Center for Atmospheric Research's (NCAR) supercomputer facility is an accessible and powerful resource for any scientist or statistician working in climate-related fields. This technical report presents a tutorial for users of the statistical language R to quickly utilize the massively parallel computational resources provided by the NCAR Yellowstone supercomputer through the Rmpi package.

We provide fully functional scripts on the Yellowstone system that serve as examples of flexible implementations of the capabilities of massively parallel R scripts. Additionally, the tutorial serves as a guide for running parallel R scripts on anycluster or supercomputer with MPI capabilities.

Links

Get the data

Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
National Center for Atmospheric Research4bb17313-e249-4af8-bcfb-1a78b71b364313 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].local:field:earth-environmentalmapping · data ucar educonnector:data_ucar_edu@1.0.0
concepts[field].local:field:mathematics-statisticsmapping · data ucar educonnector:data_ucar_edu@1.0.0
concepts[field].local:field:ocean-atmosphericmapping · data ucar educonnector:data_ucar_edu@1.0.0
created_datesource · data ucar educonnector:data_ucar_edu@1.0.0
descriptionsource · data ucar educonnector:data_ucar_edu@1.0.0/notes
publication_datesource · data ucar educonnector:data_ucar_edu@1.0.0
titlesource · data ucar educonnector:data_ucar_edu@1.0.0/title
updated_datesource · data ucar educonnector:data_ucar_edu@1.0.0