An iterative expanding and shrinking process for processor allocation in mixed-parallel workflow scheduling

Parallel computation has been widely applied in a variety of large-scale scientific and engineering applications. Many studies indicate that exploiting both task and data parallelisms, i.e. mixed-parallel workflows, to solve large computational problems can get better efficacy compared with either p...

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Detalles Bibliográficos
Autores principales: Huang, Kuo-Chan, Wu, Wei-Ya, Wang, Feng-Jian, Liu, Hsiao-Ching, Hung, Chun-Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4954800/
https://www.ncbi.nlm.nih.gov/pubmed/27504236
http://dx.doi.org/10.1186/s40064-016-2808-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4954800/
https://www.ncbi.nlm.nih.gov/pubmed/27504236
http://dx.doi.org/10.1186/s40064-016-2808-y

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