Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/1766
COMPARTIR / EXPORTAR:
SHARE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | User-Friendly Parallel Computations with Econometric Examples |
Autor: | Creel, Michael | Palabras clave: | Parallel computing Kernel regression Monte Carlo Bootstrapping Maximum likelihood GMM |
Fecha de publicación: | 10-ene-2005 | Serie: | UFAE and IAE Working Papers 637.05 |
Resumen: | This paper shows how a high level matrix programming language may be used to perform Monte Carlo simulation, bootstrapping, estimation by maximum likelihood and GMM, and kernel regression in parallel on symmetric multiprocessor computers or clusters of workstations. The implementation of parallelization is done in a way such that an investigator may use the programs without any knowledge of parallel programming. A bootable CD that allows rapid creation of a cluster for parallel computing is introduced. Examples show that parallelization can lead to important reductions in computational time. Detailed discussion of how the Monte Carlo problem was parallelized is included as an example for learning to write parallel programs for Octave. | URI: | http://hdl.handle.net/10261/1766 |
Aparece en las colecciones: | (IAE) Informes y documentos de trabajo |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
63705.pdf | 197,87 kB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
Page view(s)
344
checked on 23-abr-2024
Download(s)
253
checked on 23-abr-2024
Google ScholarTM
Check
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.