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...

Full description

Saved in:

Bibliographic Details
Published in:	The Journal of supercomputing Vol. 75; no. 2; pp. 510 - 532
Main Authors:	Yue, Shasha, Ma, Yan, Chen, Lajiao, Wang, Yuzhu, Song, Weijing
Format:	Journal Article
Language:	English
Published:	New York Springer US 06.02.2019 Springer Nature B.V
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!