Performance analysis and optimization of parallel Best-First Search algorithms on multicore and cluster of multicore
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...
Guardado en:
| Autor principal: | Sanz, Victoria María |
|---|---|
| Formato: | Articulo Revision |
| Lenguaje: | Inglés |
| Publicado: |
2016
|
| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/52388 http://journal.info.unlp.edu.ar/wp-content/uploads/2015/10/JCST-42-Thesis-Overview-2.pdf |
| Aporte de: |
Ejemplares similares
-
Análisis de rendimiento y optimización de algoritmos paralelos Best-First Search sobre multicore y cluster de multicore
por: Sanz, Victoria María
Publicado: (2015) -
DNA sequence alignment: hybrid parallel programming on a multicore cluster
por: Rucci, Enzo, et al.
Publicado: (2011) -
A general framework to understand parallel performance in heterogeneous clusters: Analysis of a new adaptive parallel genetic algorithm
por: Bazterra, V.E., et al. -
A general framework to understand parallel performance in heterogeneous clusters: Analysis of a new adaptive parallel genetic algorithm
por: Bazterra, Víctor Eduardo, et al.
Publicado: (2005) -
Impact Assessment on the Parallel Performance of Node-Core Combinations in a Multicore Cluster Environment: A Case of Study
por: Fernández, César, et al.
Publicado: (2010)