IDEAS home Printed from
   My bibliography  Save this paper

Distributed Technology Techniques for Solving Dynamic Models


  • Paul Turton
  • Jan Herbert


Solving large economic models requires large amounts of computational effort, as the complexity of these models increases the computational effort required in their solution increases dramatically. To examine the nature of these solutions researchers need to repeatedly solve models using different parameter sets, this compounds the need for computational effort. This paper examines the use of distributed computing as a way of providing large amounts of computational effort. It examines distributed computing projects such as “Seti@Home†which uses millions of computers supplied by volunteers to process recorded radio telescope data, the Distributed.NET project that deciphered the 64-bit RC5-64 cipher in 2002, the BOINC project that allows volunteers to specify the projects that their PC time can be used in. The paper proposes a technique that will use distributed computing to solve dynamic models. In their paper “Solving a saddlepath unstable model with complex eiganvalues†Herbert and Stemp point out that the solution of such models requires the use of a shooting algorithm and the choice of the correct solver, candidate solutions are chosen by a search algorithm and tested using the solver. A central server will use a database to log potential search areas and pass these on to the distributed computers who will then run algorithms to search for candidate solutions. Once complete the results of the search will be reported back to the server.

Suggested Citation

  • Paul Turton & Jan Herbert, 2004. "Distributed Technology Techniques for Solving Dynamic Models," Computing in Economics and Finance 2004 297, Society for Computational Economics.
  • Handle: RePEc:sce:scecf4:297

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item


    Distributed computation; economic models.;

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques


    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:sce:scecf4:297. 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.