High Performance Fault-tolerant Scheduling Method and Simulation for Heterogeneous Multicore

Authors

Shigan Yu, 1.State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China; ;2.School of Computer and Control Engineering, University of Chinese Academy of Sciences, Being 100049, China; ;3. Information Engineering college, Fuyang Normal University, Fuyang 236041, China;
Zhimin Tang, 1.State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China; ;2.School of Computer and Control Engineering, University of Chinese Academy of Sciences, Being 100049, China; ;
Xiaochun Ye, 1.State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China; ;2.School of Computer and Control Engineering, University of Chinese Academy of Sciences, Being 100049, China; ;
Zhimin Zhang, 1.State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China; ;2.School of Computer and Control Engineering, University of Chinese Academy of Sciences, Being 100049, China; ;

Abstract

Abstract: To deal with the problem of low performance and high power consumption when solving the transient fault of the processor with three mode redundancy (TMR), a task execution algorithm for heterogeneous multicore considering fault tolerant (TEAHFT) is proposed. The tasks to be executed are divided into sensitive tasks and fault-tolerant tasks. The sensitive tasks are executed in a TMR mode, and the fault-tolerant tasks are executed in a competitive scheduling mode. The task will be rerun in TMR method if the results of the fault-tolerant tasks do not meet the reliability threshold. The simulation experimental results show that TEAHFT achieves a 16.4% average efficiency improvement over TMR and PB methods when running test cases. TEAHFT, TMR and PB have similar fault-tolerant results, but TEAHFT’s average execution efficiency has increased by 14.1% and the power consumption decreased by 22.1% when 100 errors were injected.

Recommended Citation

Yu, Shigan; Tang, Zhimin; Ye, Xiaochun; and Zhang, Zhimin (2019) "High Performance Fault-tolerant Scheduling Method and Simulation for Heterogeneous Multicore," Journal of System Simulation: Vol. 30: Iss. 11, Article 20.
DOI: 10.16182/j.issn1004731x.joss.201811020
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss11/20

First Page

4210

Revised Date

2018-07-30

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201811020

Last Page

4220

CLC

TP391.7

Recommended Citation

Yu Shigan, Tang Zhimin, Ye Xiaochun, Zhang Zhimin. High Performance Fault-tolerant Scheduling Method and Simulation for Heterogeneous Multicore[J]. Journal of System Simulation, 2018, 30(11): 4210-4220.

DOI

10.16182/j.issn1004731x.joss.201811020