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

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Author Info
William L. Goffe
Michael Creel

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Abstract

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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Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 2005 with number 438.

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Date of creation: 11 Nov 2005
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Handle: RePEc:sce:scecf5:438

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Related research
Keywords: parallel computing; clusters; grid computing;

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C63 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Computational Techniques

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  1. Giorgio Pauletto & Manfred Gilli, 2000. "Parallel Krylov Methods for Econometric Model Simulation," Computational Economics, Springer, vol. 16(1/2), pages 173-186, October. [Downloadable!]
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  3. Beaumont, Paul M & Bradshaw, Patrick T, 1995. "A Distributed Parallel Genetic Algorithm for Solving Optimal Growth Models," Computational Economics, Springer, vol. 8(3), pages 159-79, August.
  4. Michael Creel, 2005. "ParallelKnoppix," Grecs Computer Code 003.05, Research Group in Computation and Simulations (GRECS). [Downloadable!]
  5. Kontoghiorghes, Erricos J, 2000. "Parallel Strategies for Solving SURE Models with Variance Inequalities and Positivity of Correlations Constraints," Computational Economics, Springer, vol. 15(1-2), pages 89-106, April. [Downloadable!]
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  6. Michael Creel, 2004. "ParallelKnoppix - Rapid Deployment of a Linux Cluster for MPI Parallel Processing Using Non-Dedicated Computers," UFAE and IAE Working Papers 625.04, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC). [Downloadable!]
  7. Michael Creel, 2005. "User-Friendly Parallel Computations with Econometric Examples," Computational Economics, Springer, vol. 26(2), pages 107-128, October. [Downloadable!] (restricted)
  8. Michael Creel, 2007. "I ran four million probits last night: HPC clustering with ParallelKnoppix," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 215-223. [Downloadable!]
  9. Manfred Gilli & Giorgio Pauletto, 1993. "Econometric Model Simulation on Parallel Computers," Cahiers du Département d'Econométrie 93.07, Département d'Econométrie, Université de Genève. [Downloadable!]
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  13. Christopher Ferrall, 2005. "Solving Finite Mixture Models: Efficient Computation in Economics Under Serial and Parallel Execution," Computational Economics, Springer, vol. 25(4), pages 343-379, June. [Downloadable!] (restricted)
  14. Ekvall, Niklas, 1994. "Experiences in the Pricing of Trivariate Contingent Claims with Finite Difference Methods on a Massively Parallel Computer," Computational Economics, Springer, vol. 7(2), pages 63-72.
  15. Nagurney, Anna & Takayama, Takashi & Zhang, Ding, 1995. "Massively parallel computation of spatial price equilibrium problems as dynamical systems," Journal of Economic Dynamics and Control, Elsevier, vol. 19(1-2), pages 3-37. [Downloadable!] (restricted)
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  17. Donghoon Lee & Matthew Wiswall, 2007. "A Parallel Implementation of the Simplex Function Minimization Routine," Computational Economics, Springer, vol. 30(2), pages 171-187, September. [Downloadable!] (restricted)
  18. 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). [Downloadable!]
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