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Multi-core CPUs, Clusters, and Grid Computing: A Tutorial

  • Michael Creel

    ()

  • William Goffe

    ()

The nature of computing is changing and it poses both challenges and opportunities for economists. Instead of increasing clock speed, future microprocessors will have "multi-cores" with separate execution units. "Threads" or other multi-processing techniques that are rarely used today are required to take full advantage of them. Beyond one machine, it has become easy to harness multiple computers to work in clusters. Besides dedicated clusters, they can be made up of unused lab computers or even your colleagues' machines. We will give live demos of multi-core and clusters and will describe grid computing (multiple clusters that could span the Internet). OpenMP (open multi-processing) and MPI (message passing interface) are among the topics described and shown live

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Article provided by Society for Computational Economics in its journal Computational Economics.

Volume (Year): 32 (2008)
Issue (Month): 4 (November)
Pages: 353-382

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Handle: RePEc:kap:compec:v:32:y:2008:i:4:p:353-382
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  14. Kontoghiorghes, Erricos J, 2000. "Parallel Strategies for Solving SURE Models with Variance Inequalities and Positivity of Correlations Constraints," Computational Economics, Society for Computational Economics, vol. 15(1-2), pages 89-106, April.
  15. Ekvall, Niklas, 1994. "Experiences in the Pricing of Trivariate Contingent Claims with Finite Difference Methods on a Massively Parallel Computer," Computational Economics, Society for Computational Economics, vol. 7(2), pages 63-72.
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