IDEAS home Printed from
   My bibliography  Save this paper

Introducing PARALLEL: Stata Module for Parallel Computing


  • George Vega

    () (Chilean Pension Supervisor, Adolfo Ibanez University (Chile))


Inspired in the R library 'snow' and to be used in multicore CPUs, parallel implements parallel computing methods through an OS's shell scripting (using Stata in batch mode) to accelerate computations. By splitting the dataset into a determined number of clusters this module repeats a task simultaneously over the data-clusters, allowing to increase efficiency between two and five times, or more depending on the number of cores of the CPU. Without the need of StataMP, parallel is, to the author's knowledge, the first user contributed Stata module to implement parallel computing.

Suggested Citation

  • George Vega, 2013. "Introducing PARALLEL: Stata Module for Parallel Computing," 2013 Stata Conference 4, Stata Users Group.
  • Handle: RePEc:boc:norl13:4

    Download full text from publisher

    File URL:
    Download Restriction: no

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:boc:norl13:4. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F Baum). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.