IDEAS home Printed from https://ideas.repec.org/c/aub/grecss/003.05.html
 

ParallelKnoppix

Author

Listed:
  • Michael Creel

Programming Language

Abstract

ParallelKnoppix is a remaster of the Knoppix live CD distibution of GNU Linux that allows setting up a cluster of machines for parallel processing using the LAM-MPI and/or MPICH implementations of MPI, as well as PVM. You can convert a room full of machines running Windows into a Linux cluster, and when you shut down, your Windows machines are in their original state. The computers in the cluster can be homogeneous or heterogeneous. Getting the cluster up and running takes about 5 minutes, if the machines have PXE network cards. Clusters from 2 to 200 machines are supported. The tutorial explains in detail how to set it up.

Suggested Citation

  • Michael Creel, 2005. "ParallelKnoppix," Grecs Computer Code 003.05, Research Group in Computation and Simulations (GRECS).
    • Handle: RePEc:aub:grecss:003.05
    as

    Download full text from publisher

    File URL: http://pareto.uab.es/mcreel/ParallelKnoppix/download
    File Function: ISO image
    Download Restriction: no
    File URL: ftp://volcano.uab.es/pub/ParallelKnoppix/download
    File Function: ISO image (alternative download)
    Download Restriction: no
    File URL: http://pareto.uab.es/mcreel/ParallelKnoppix/parallelknoppix.iso.md5
    File Function: md5 checksum
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Michael Creel & Dennis Kristensen, "undated". "Indirect Likelihood Inference," Working Papers 558, Barcelona School of Economics.
    2. Michael Creel & William Goffe, 2008. "Multi-core CPUs, Clusters, and Grid Computing: A Tutorial," Computational Economics, Springer;Society for Computational Economics, vol. 32(4), pages 353-382, November.
    3. Michael Creel, 2005. "User-Friendly Parallel Computations with Econometric Examples," UFAE and IAE Working Papers 637.05, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    4. Michael Creel, 2005. "User-Friendly Parallel Computations with Econometric Examples," Computational Economics, Springer;Society for Computational Economics, vol. 26(2), pages 107-128, October.

    More about this item

    JEL classification:

    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

    Statistics

    Access and download statistics

    Corrections

    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:aub:grecss:003.05. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Xavier Vila (email available below). General contact details of provider: https://edirc.repec.org/data/ufuabes.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.