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A decomposition-based reliability and makespan optimization technique for hardware task graphs

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  • Ramezani, Reza
  • Sedaghat, Yasser
  • Naghibzadeh, Mahmoud
  • Clemente, Juan Antonio

Abstract

This paper presents an approach to optimize the reliability and makespan of hardware task graphs, running on FPGA-based reconfigurable computers, in space-mission computing applications with dynamic soft error rates (SERs). Thus, with rises and falls of the SER, the presented approach dynamically generates a set of solutions that apply redundancy-based fault tolerance (FT) techniques to the running tasks. The set of solutions is generated by decomposing the task graph into multiple subgraphs, applying a multi-objective optimization algorithm to the subgraphs separately, and finally combining and filtering out the obtained solutions of the subgraphs. In this regard, a heuristic has been proposed to decompose task graphs in such a way that a high coverage of the true Pareto set is attained. The experiments show that the presented approach covers 97.37% of the true Pareto set and improves the average computation time of generating the Pareto set from 6.29Â h to 81.86Â ms. In addition, it outperforms the NSGA-II algorithm in terms of the Pareto set coverage and computation time. Additional experiments demonstrate the advantages of the presented approach over the state-of-the-art adaptive FT techniques in dynamic environments.

Suggested Citation

  • Ramezani, Reza & Sedaghat, Yasser & Naghibzadeh, Mahmoud & Clemente, Juan Antonio, 2018. "A decomposition-based reliability and makespan optimization technique for hardware task graphs," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 13-24.
    • Handle: RePEc:eee:reensy:v:180:y:2018:i:c:p:13-24
    DOI: 10.1016/j.ress.2018.07.007
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    References listed on IDEAS

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    1. Cao, Dingzhou & Murat, Alper & Chinnam, Ratna Babu, 2013. "Efficient exact optimization of multi-objective redundancy allocation problems in series-parallel systems," Reliability Engineering and System Safety, Elsevier, vol. 111(C), pages 154-163.
    2. Kim, Heungseob, 2017. "Optimal reliability design of a system with k-out-of-n subsystems considering redundancy strategies," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 572-582.
    3. Kim, Heungseob, 2018. "Maximization of system reliability with the consideration of component sequencing," Reliability Engineering and System Safety, Elsevier, vol. 170(C), pages 64-72.
    4. Villalta, Igor & Bidarte, Unai & Gómez-Cornejo, Julen & Jiménez, Jaime & Lázaro, Jesús, 2018. "SEU emulation in industrial SoCs combining microprocessor and FPGA," Reliability Engineering and System Safety, Elsevier, vol. 170(C), pages 53-63.
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    Cited by:

    1. Ramezani, Reza & Ghavidel, Abolfazl & Sedaghat, Yasser, 2021. "Exact and efficient reliability and performance optimization of synchronous task graphs," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    2. Ramezani, Reza & Clemente, Juan Antonio & Franco, Francisco J., 2020. "Analytical reliability estimation of SRAM-based FPGA designs against single-bit and multiple-cell upsets," Reliability Engineering and System Safety, Elsevier, vol. 202(C).

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