Research Article
Heterogeneous High-Performance System Algorithm Based on Computer Big Data Technology
@ARTICLE{10.4108/eetsis.3789, author={Dongyang Pan}, title={Heterogeneous High-Performance System Algorithm Based on Computer Big Data Technology}, journal={EAI Endorsed Transactions on Scalable Information Systems}, volume={11}, number={1}, publisher={EAI}, journal_a={SIS}, year={2023}, month={10}, keywords={Priority queue division, Heterogeneous system, High performance computing, Time of completion, Dispatching Efficiency}, doi={10.4108/eetsis.3789} }- Dongyang Pan
Year: 2023
Heterogeneous High-Performance System Algorithm Based on Computer Big Data Technology
SIS
EAI
DOI: 10.4108/eetsis.3789
Abstract
INTRODUCTION: In this paper, a scheduling algorithm for heterogeneous systems based on prioritization (PQDSA) is proposed. This algorithm is a sort method based on directed acyclic graph (DAG). The key nodes in the network are grouped according to the communication and computing costs in the network. This increases the parallelism between task schedules and reduces the completion time of work sets. Then, a method of assigning multiple tasks to multiple processors using interpolation is proposed. The PQDSA method can effectively reduce the time of scheduling multiple tasks and improve the scheduling effect. PQDSA is compared with EDL-θ and EDF scheduling methods. The results show that this method has better scheduling efficiency.
Copyright © 2023 D. Pan et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.
