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Creating and Using a Non-Dedicated HPC Cluster with ParallelKnoppix


  • Michael Creel
  • Universitat Autònoma de Barcelona


This note describes ParallelKnoppix, a bootable CD that allows econometricians with average knowledge of computers to create and begin using a high performance computing cluster for parallel computing in very little time. The computers used may be heterogeneous machines, and clusters of up to 200 nodes are supported. When the cluster is shut down, all machines are in their original state, so their temporary use in the cluster does not interfere with their normal uses. An example shows how a Monte Carlo study of a bootstrap test procedure may be done in parallel. Using a cluster of 20 nodes, the example runs approximately 20 times faster than it does on a single computer

Suggested Citation

  • Michael Creel & Universitat Autònoma de Barcelona, 2006. "Creating and Using a Non-Dedicated HPC Cluster with ParallelKnoppix," Computing in Economics and Finance 2006 202, Society for Computational Economics.
  • Handle: RePEc:sce:scecfa:202

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    References listed on IDEAS

    1. Peter Hordahl & Oreste Tristani & David Vestin, 2003. "A joint econometric model of macroeconomic and term structure," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
    2. Geert Bekaert & Seonghoon Cho & Antonio Moreno, 2010. "New Keynesian Macroeconomics and the Term Structure," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(1), pages 33-62, February.
    3. Pau Rabanal & Juan Rubio-Ramírez, 2008. "Comparing new Keynesian models in the Euro area: a Bayesian approach," Spanish Economic Review, Springer;Spanish Economic Association, vol. 10(1), pages 23-40, March.
    4. Carl E. Walsh, 2003. "Monetary Theory and Policy, 2nd Edition," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232316, January.
    5. Nakajima, Tomoyuki, 2005. "A business cycle model with variable capacity utilization and demand disturbances," European Economic Review, Elsevier, vol. 49(5), pages 1331-1360, July.
    6. Buraschi, Andrea & Jiltsov, Alexei, 2005. "Inflation risk premia and the expectations hypothesis," Journal of Financial Economics, Elsevier, vol. 75(2), pages 429-490, February.
    7. Peter J. Klenow & Oleksiy Kryvtsov, 2008. "State-Dependent or Time-Dependent Pricing: Does it Matter for Recent U.S. Inflation?," The Quarterly Journal of Economics, Oxford University Press, vol. 123(3), pages 863-904.
    8. Seppala, Juha, 2004. "The term structure of real interest rates: theory and evidence from UK index-linked bonds," Journal of Monetary Economics, Elsevier, vol. 51(7), pages 1509-1549, October.
    9. Lucas, Robert E, Jr, 1978. "Asset Prices in an Exchange Economy," Econometrica, Econometric Society, vol. 46(6), pages 1429-1445, November.
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    More about this item


    parallel computing; high performance computing; cluster; Monte Carlo; bootstrap;

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • 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


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