Using Multicore Technologies to Speed Up Complex Simulations of Population Evolution
We explore with the use of multicore processing technologies for conducting simulations on population replacement of disease vectors. In our model, a native population of simulated vectors is inoculated with a small exogenous population of vectors that have been infected with the Wolbachia bacteria,...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | Applied Computational Intelligence and Soft Computing |
| Online Access: | http://dx.doi.org/10.1155/2013/345297 |
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| _version_ | 1832549389308002304 |
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| author | Mauricio Guevara-Souza Edgar E. Vallejo |
| author_facet | Mauricio Guevara-Souza Edgar E. Vallejo |
| author_sort | Mauricio Guevara-Souza |
| collection | DOAJ |
| description | We explore with the use of multicore processing technologies for conducting simulations on population replacement of disease vectors. In our model, a native population of simulated vectors is inoculated with a small exogenous population of vectors that have been infected with the Wolbachia bacteria, which confers immunity to the disease. We conducted a series of computational simulations to study the conditions required by the invading population to take over the native population. Given the computational burden of this study, we decided to take advantage of modern multicore processor technologies for reducing the time required for the simulations. Overall, the results seem promising both in terms of the application and the use of multicore technologies. |
| format | Article |
| id | doaj-art-82a4e25ff2904b7292769af574ed76ed |
| institution | Kabale University |
| issn | 1687-9724 1687-9732 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied Computational Intelligence and Soft Computing |
| spelling | doaj-art-82a4e25ff2904b7292769af574ed76ed2025-02-03T06:11:29ZengWileyApplied Computational Intelligence and Soft Computing1687-97241687-97322013-01-01201310.1155/2013/345297345297Using Multicore Technologies to Speed Up Complex Simulations of Population EvolutionMauricio Guevara-Souza0Edgar E. Vallejo1ITESM-CEM, Carretera a Lago de Guadalupe km 3.5, Col. Margarita Maza de Juarez, 52956 Atizapan de Zaragoza, MEX, MexicoITESM-CEM, Carretera a Lago de Guadalupe km 3.5, Col. Margarita Maza de Juarez, 52956 Atizapan de Zaragoza, MEX, MexicoWe explore with the use of multicore processing technologies for conducting simulations on population replacement of disease vectors. In our model, a native population of simulated vectors is inoculated with a small exogenous population of vectors that have been infected with the Wolbachia bacteria, which confers immunity to the disease. We conducted a series of computational simulations to study the conditions required by the invading population to take over the native population. Given the computational burden of this study, we decided to take advantage of modern multicore processor technologies for reducing the time required for the simulations. Overall, the results seem promising both in terms of the application and the use of multicore technologies.http://dx.doi.org/10.1155/2013/345297 |
| spellingShingle | Mauricio Guevara-Souza Edgar E. Vallejo Using Multicore Technologies to Speed Up Complex Simulations of Population Evolution Applied Computational Intelligence and Soft Computing |
| title | Using Multicore Technologies to Speed Up Complex Simulations of Population Evolution |
| title_full | Using Multicore Technologies to Speed Up Complex Simulations of Population Evolution |
| title_fullStr | Using Multicore Technologies to Speed Up Complex Simulations of Population Evolution |
| title_full_unstemmed | Using Multicore Technologies to Speed Up Complex Simulations of Population Evolution |
| title_short | Using Multicore Technologies to Speed Up Complex Simulations of Population Evolution |
| title_sort | using multicore technologies to speed up complex simulations of population evolution |
| url | http://dx.doi.org/10.1155/2013/345297 |
| work_keys_str_mv | AT mauricioguevarasouza usingmulticoretechnologiestospeedupcomplexsimulationsofpopulationevolution AT edgarevallejo usingmulticoretechnologiestospeedupcomplexsimulationsofpopulationevolution |