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Distributed Evolutionary Computation using REST

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Presentation for IWDECIE within CEC2011

Published in: Technology
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Distributed Evolutionary Computation using REST

  1. 1. Distributed Evolutionary Computation using REST P.A. Castillo, M.G. Arenas, A.M. Mora, J.L.J. Laredo, G. Romero,V.M Rivas J.J. Merelo GeNeura Group http://geneura.wordpress.com http://twitter.com/geneura
  2. 2. If you've been paying attention REST beats other web-services implementations: lighter, more scalable
  3. 3. Let's put it to work Using a single server, different clients (master/slave implementation)
  4. 4. What problem? <ul><li>Optimization of topology + initial weights for a multilayer perceptron: G-Prop algorithm (Castillo et al., 1999)
  5. 5. Evaluation lengthy and time-consuming </li></ul>
  6. 6. Client/server implementation
  7. 7. Old McREST had a farm <ul><li>But we will not be using it for this.
  8. 8. Populations running in parallel on clients and use REST server for communication.
  9. 9. Hope to achieve better scaling that way. </li></ul>
  10. 10. Reminder: REST architecture Send chromosomes to the server Request chromosomes Send chromosomes Get evaluated chromosomes Uses PerlDancer Uses Algorithm::Evolutionary
  11. 11. Evolutionary algorithm parameters
  12. 12. Experimental results
  13. 13. Speedup nodes speedup
  14. 14. REST your parallelization in peace Just add clients!
  15. 15. Open source your science!
  16. 16. Any question? http://geneura.wordpress.com http://twitter.com/geneura

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