Energy-performance modeling of speculative checkpointing for exascale systems

Muhammad Alfian Amrizal, Atsuya Uno, Yukinori Sato, Hiroyuki Takizawa, Hiroaki Kobayashi

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


Coordinated checkpointing is a widely-used checkpoint/restart protocol for fault-tolerance in large-scale HPC systems. However, this protocol will involve massive amounts of I/O concentration, resulting in considerably high checkpoint overhead and high energy consumption. This paper focuses on speculative checkpointing, a CPR mechanism that allows for temporal distribution of checkpointings to avoid I/O concentration. We propose execution time and energy models for speculative checkpointing, and investigate energy-performance characteristics when speculative checkpointing is adopted in exascale systems. Using these models, we study the benefit of speculative checkpointing over coordinated checkpointing under various realistic scenarios for exascale HPC systems. We show that, compared to coordinated checkpointing, speculative checkpointing can achieve up to a 11% energy reduction at the cost of a relatively-small increase in the execution time. In addition, a significant energy-performance trade-off is expected when the system scale exceeds 1.2 million nodes.

Original languageEnglish
Pages (from-to)2749-2760
Number of pages12
JournalIEICE Transactions on Information and Systems
Issue number12
Publication statusPublished - 2017 Dec


  • Checkpoint/restart
  • Coordinated checkpointing
  • Energy consumption
  • Exascale
  • Execution time
  • Performance model
  • Speculative checkpointing


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