2019
DOI: 10.1109/access.2019.2956759
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DBEFT: A Dependency-Ratio Bundling Earliest Finish Time Algorithm for Heterogeneous Computing

Abstract: Performance effective task scheduling algorithms are essential for taking advantage of the heterogeneous multi-processor in heterogeneous computing environments. In this paper, we present a task scheduling algorithm named as Dependency-ratio Bundling Earliest Finish Time (DBEFT). DBEFT is a list based scheduling algorithm combined with task duplication, which can achieve high performance and low time complexity simultaneously. DBEFT selects the task from the perspective of extending parallelism between tasks i… Show more

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Cited by 6 publications
(3 citation statements)
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“…These models can be categorized into a single workflow and multi-workflow allocation models. Further, Single workflow models are classified into static workflow allocation models [25,26,27,28,29,30,31,32,33,34,39,40,41,42,43,44,45,46,47,48] and dynamic workflow allocation models [35,36,37,38]. Static workflow allocation is done at compile time.…”
Section: Related Workmentioning
confidence: 99%
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“…These models can be categorized into a single workflow and multi-workflow allocation models. Further, Single workflow models are classified into static workflow allocation models [25,26,27,28,29,30,31,32,33,34,39,40,41,42,43,44,45,46,47,48] and dynamic workflow allocation models [35,36,37,38]. Static workflow allocation is done at compile time.…”
Section: Related Workmentioning
confidence: 99%
“…As soon as new tasks arrive, the scheduler dynamically decides the possibility of allocating these new tasks without exposing the assurances provided. The static single workflow allocation approach can be extended into list scheduling [25,26,27,28,29,30,31,32,33,34,40], clustering [41,42,43,44,45,46,47,48], etc.…”
Section: Related Workmentioning
confidence: 99%
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