| dc.creator | Sanz, Victoria María | |
| dc.date | 2016-04 | |
| dc.date | 2016-04-21T14:28:05Z | |
| dc.identifier | http://sedici.unlp.edu.ar/handle/10915/52388 | |
| dc.identifier | http://journal.info.unlp.edu.ar/wp-content/uploads/2015/10/JCST-42-Thesis-Overview-2.pdf | |
| dc.identifier | issn:1666-6038 | |
| dc.description | The contribution of the thesis is the development of two parallel Best-First Search algorithms, one that is suitable for execution on shared-memory machines (multicore), and another one that is suitable for execution on distributed memory machines (cluster). The former is based on the adaptation of the HDA* (Hash Distributed A*) algorithm for multicore machines proposed by (Burns et al., 2010), while the latter is based on the HDA* (Hash Distributed A*) algorithm proposed by (Kishimoto, et al., 2013). The implemented algorithms incorporate parameters and/or techniques that improve their performance, with respect to the original algorithms proposed by the authors mentioned above. | |
| dc.description | Es revisión de: http://sedici.unlp.edu.ar/handle/10915/44478 | |
| dc.description | Resumen de la tesis presentada por la autora para obtener el título de Doctor en Ciencias Informáticas (UNLP, 2015). | |
| dc.description | Facultad de Informática | |
| dc.format | application/pdf | |
| dc.format | 61-62 | |
| dc.language | en | |
| dc.relation | Journal of Computer Science & Technology | |
| dc.relation | vol. 16, no. 1 | |
| dc.rights | http://creativecommons.org/licenses/by/3.0/ | |
| dc.rights | Creative Commons Attribution 3.0 Unported (CC BY 3.0) | |
| dc.subject | Ciencias Informáticas | |
| dc.title | Performance analysis and optimization of parallel Best-First Search algorithms on multicore and cluster of multicore | |
| dc.type | Articulo | |
| dc.type | Revision | |
