MPI parameter optimization during debugging phase of HPC system


Before the HPC system is delivered to the user, system debugging engineers need to optimize the configuration of all system parameters, including the MPI runtime parameters. This process usually follows a trial-and-error approach, takes time and requires expert insight into the subtle interactions between the software and the underlying hard fight. With the expansion of system and application scale, this work becomes more and more challenging. This paper presents a method to select MPI runtime parameters, which can be used to find the optimal MPI runtime parameters for most applications in a relatively short time. We test our approach on the SPEC MPI2007. Experimental results show that our approach achieves up to 11.93% improvement over the default setting.

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This work was supported in part by the National Key Research and Development Program of China (2018YFB0204301). This article is particularly grateful to my wife Huang Hui, whose support is the driving force for my scientific research. At the same time, I would like to thank myself who worked hard in the past to do scientific research without pressure now.

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Correspondence to Qi Du.

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Du, Q., Huang, H. MPI parameter optimization during debugging phase of HPC system. J Supercomput (2021).

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  • MPI
  • HPC
  • Debugging phase
  • Correlation matrix
  • SPEC MPI2007