Dynamic DAG scheduling for many-task computing of distributed eco-hydrological model

The computing of distributed hydrological model at large scale is increasingly characterized by data intensive and computation intensive, especially for the multi-process coupling model. Parallel computing is one effective approach to cope with this situation. The easily extensible fine-grained para...

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Vydané v:	The Journal of supercomputing Ročník 75; číslo 2; s. 510 - 532
Hlavní autori:	Yue, Shasha, Ma, Yan, Chen, Lajiao, Wang, Yuzhu, Song, Weijing
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 06.02.2019 Springer Nature B.V
Predmet:	Compilers Computer Science Computing time Critical path Hydrologic models Hydrology Interpreters Parallel processing Processor Architectures Programming Languages Schedules Task scheduling Parallel computing Many-task computing Hydrological model DAG scheduling
ISSN:	0920-8542, 1573-0484
On-line prístup:	Získať plný text
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