Http://journal.r-pro Ject.org/archive/200 9-1/RJournal_2009-1_ Knaus+et+al.pdf

RJournal_2009-1_Knaus et al.pdf
Preview of http://journal.r-pro ject.org/archive/200 9-1/RJournal_2009-1_ Knaus+et+al.pdf
🔗 Source: journal.r-project.org
📊 Size: 281 KB
📄 Pages: 6 pages
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Summary

The R package snowfall and the management tool sfCluster simplify parallel computing in R by hiding cluster setup and handling from the user, allowing for easier and more flexible parallel programming without requiring deeper knowledge of cluster computing. Snowfall is built on top of the snow package and provides extended error handling, functions for common parallel computing tasks, and control over cluster settings. It can be used with or without sfCluster and allows for switching between sequential and parallel execution without code changes. The package is designed to make parallel computing accessible to R programmers and provides a simple workflow for parallelizing calculations.

Description

The R package snowfall and the management tool sfCluster simplify parallel computing in R by hiding cluster setup and handling from the user, allowing for...

Technical Information

  • File Format: PDF
  • File Size: 281 KB
  • Pages: 6
  • Language: EN
  • Total Downloads: 68
  • Last Updated: 3 days ago

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