A tutorial for using 'Rmpi' on the NCAR/Wyoming supercomputer

Nathan Lenssen; Douglas Nychka; Dorit Hammerling; Seth McGinnis

doi:10.5065/D6X63K5S

A tutorial for using 'Rmpi' on the NCAR/Wyoming supercomputer

Nathan Lenssen, Douglas Nychka, Dorit Hammerling, Seth McGinnis

Research output: Working paper

Abstract

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. 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.

Original language	English
DOIs	https://doi.org/10.5065/D6X63K5S
State	Published - Mar 1 2016

Keywords

Parallel Computing
High Performance Computing
R Programming
Spatial Statistics

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http://nldr.library.ucar.edu/repository/collections/TECH-NOTE-000-000-000-895

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title = "A tutorial for using 'Rmpi' on the NCAR/Wyoming supercomputer",

abstract = "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. 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.",

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Y1 - 2016/3/1

N2 - 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. 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.

AB - 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. 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.

KW - Parallel Computing

KW - High Performance Computing

KW - R Programming

KW - Spatial Statistics

U2 - 10.5065/D6X63K5S

DO - 10.5065/D6X63K5S

M3 - Working paper

BT - A tutorial for using 'Rmpi' on the NCAR/Wyoming supercomputer

ER -

A tutorial for using 'Rmpi' on the NCAR/Wyoming supercomputer

Abstract

Keywords

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