cloud.r-project.org/package=parallelly

Preview meta tags from the cloud.r-project.org website.

Linked Hostnames

6

Thumbnail

Search Engine Appearance

Google

https://cloud.r-project.org/package=parallelly

parallelly: Enhancing the 'parallel' Package

Utility functions that enhance the 'parallel' package and support the built-in parallel backends of the 'future' package. For example, availableCores() gives the number of CPU cores available to your R process as given by the operating system, 'cgroups' and Linux containers, R options, and environment variables, including those set by job schedulers on high-performance compute clusters. If none is set, it will fall back to parallel::detectCores(). Another example is makeClusterPSOCK(), which is backward compatible with parallel::makePSOCKcluster() while doing a better job in setting up remote cluster workers without the need for configuring the firewall to do port-forwarding to your local computer.



Bing

parallelly: Enhancing the 'parallel' Package

https://cloud.r-project.org/package=parallelly

Utility functions that enhance the 'parallel' package and support the built-in parallel backends of the 'future' package. For example, availableCores() gives the number of CPU cores available to your R process as given by the operating system, 'cgroups' and Linux containers, R options, and environment variables, including those set by job schedulers on high-performance compute clusters. If none is set, it will fall back to parallel::detectCores(). Another example is makeClusterPSOCK(), which is backward compatible with parallel::makePSOCKcluster() while doing a better job in setting up remote cluster workers without the need for configuring the firewall to do port-forwarding to your local computer.



DuckDuckGo

https://cloud.r-project.org/package=parallelly

parallelly: Enhancing the 'parallel' Package

Utility functions that enhance the 'parallel' package and support the built-in parallel backends of the 'future' package. For example, availableCores() gives the number of CPU cores available to your R process as given by the operating system, 'cgroups' and Linux containers, R options, and environment variables, including those set by job schedulers on high-performance compute clusters. If none is set, it will fall back to parallel::detectCores(). Another example is makeClusterPSOCK(), which is backward compatible with parallel::makePSOCKcluster() while doing a better job in setting up remote cluster workers without the need for configuring the firewall to do port-forwarding to your local computer.

  • General Meta Tags

    9
    • title
      CRAN: Package parallelly
    • Content-Type
      text/html; charset=utf-8
    • viewport
      width=device-width, initial-scale=1.0, user-scalable=yes
    • citation_title
      Enhancing the 'parallel' Package [R package parallelly version 1.45.1]
    • citation_author
      Henrik Bengtsson
  • Open Graph Meta Tags

    5
    • og:title
      parallelly: Enhancing the 'parallel' Package
    • og:description
      Utility functions that enhance the 'parallel' package and support the built-in parallel backends of the 'future' package. For example, availableCores() gives the number of CPU cores available to your R process as given by the operating system, 'cgroups' and Linux containers, R options, and environment variables, including those set by job schedulers on high-performance compute clusters. If none is set, it will fall back to parallel::detectCores(). Another example is makeClusterPSOCK(), which is backward compatible with parallel::makePSOCKcluster() while doing a better job in setting up remote cluster workers without the need for configuring the firewall to do port-forwarding to your local computer.
    • og:image
      https://CRAN.R-project.org/CRANlogo.png
    • og:type
      website
    • og:url
      https://CRAN.R-project.org/package=parallelly
  • Twitter Meta Tags

    1
    • twitter:card
      summary
  • Link Tags

    2
    • canonical
      https://CRAN.R-project.org/package=parallelly
    • stylesheet
      ../../CRAN_web.css

Links

13