Optimizing Energy Consumption on HPC Systems with a Multi-Level Checkpointing Mechanism

Amrizal, Muhammad Alfian; Takizawa, Hiroyuki

doi:10.1109/nas.2017.8026868

Cited by 4 publications

(1 citation statement)

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“…In [12] an analytic model is used to compare the execution time and the consumed energy of the replication and the coordinated CR. References [13] and [14] use analytic models to estimate the optimal interval of a multilevel checkpoint in terms of energy consumption. They do not measure dissipated power but use values from other publications.…”

Section: Related Workmentioning

confidence: 99%

Prediction of Energy Consumption by Checkpoint/Restart in HPC

et al. 2019

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The fault tolerance method most used today in high-performance computing (HPC) is coordinated checkpointing. This, like any other fault tolerance method, adds additional energy consumption to that of the execution of the application. Currently, knowing and minimizing this energy consumption is a challenge. The objective of this paper is to propose a model to estimate the energy consumption of checkpoint and restart operations and a method for its construction. These estimates allow the evaluation of different scenarios in order to minimize energy consumption. We focus on coordinated checkpoint/restart at the system level, in single-program multiple-data (SPMD) applications, on homogeneous clusters. We study the behavior of the power dissipated by the compute node during a checkpoint/restart operation, as well as its execution time, considering different parameters of the system and the application. The experimentation carried out on two platforms shows the validity of the proposal. We also evaluate the impact on power and energy consumption of the processor's C states, the configuration of the network file system (NFS), where the checkpoint files are stored, and the compression of the checkpoint files. This paper contributes to the objective of predicting energy consumption in the execution of applications that use checkpoint/restart. Not counting the outliers, we can estimate the energy consumed by checkpoint/restart operations with errors lower than 7.5%.

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Section: Related Workmentioning

confidence: 99%