Ponencia
A Genetic Programming infrastructure profiting from public computation resources
Autor/es | Chávez de la O, F.
Rubio del Solar, Manuel Guisado Lizar, José Luis Lombraña González, Daniel Cárdenas Montes, Miguel Fernández de Vega, Francisco |
Departamento | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores |
Fecha de publicación | 2007 |
Fecha de depósito | 2018-05-03 |
Publicado en |
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ISBN/ISSN | 978-84-7834-544-1 |
Resumen | In this article an experience of the utilization of PRC (Public Resource Computation) in
research projects that needs large quantities of CPU time is presented. We have developed
a distributed architecture based on ... In this article an experience of the utilization of PRC (Public Resource Computation) in research projects that needs large quantities of CPU time is presented. We have developed a distributed architecture based on middleware BOINC and LilGP Genetic Programming tool. In order to run LilGP applications under BOINC platforms, some core LilGP functions has been adapted to BOINC requirements. We have used a classic GP problem known as the artificial ANT in Santa Fe Trail. Some computers from a classroom were used acting as clients, proving that they can be used for scientific computation in conjunction with their primary uses. |
Cita | Chávez de la O, F., Rubio del Solar, M., Guisado Lízar, J.L., Lombraña González, D., Cárdenas Montes, M. y Fernández de Vega, F. (2007). A Genetic Programming infrastructure profiting from public computation resources. En Spanish Conference on e-Science Grid Computing Madrid, España: Editorial CIEMAT. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Congreso-e-Ciencia_2007.pdf | 115.7Kb | [PDF] | Ver/ | |