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This article presents the integration of the TALP performance metrics collector in the Dynamic Management of Resources Library (DMRlib) to let Slurm take performance-aware reconfiguration actions. Traditionally, scientific applications that make use of high-performance computing cannot reallocate resources once assigned, making it difficult to adapt workloads. Dynamic resource management, especially through the adaptability of MPI processes, is proposed as a solution to this limitation. Thanks to the integration of TALP, DMRlib will offer new reconfiguration policies based on performance metrics such as parallel efficiency, load balancing, or communication efficiency.

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Parallel Efficiency-Aware Standard MPI-Based Malleability

  • 会议论文

  • 发表日期：

    2025年

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  • Sergio Iserte,
  • Victor Lopez,
  • Marta Garcia-Gasulla,
  • Antonio J. Peña

摘要

This article presents the integration of the TALP performance metrics collector in the Dynamic Management of Resources Library (DMRlib) to let Slurm take performance-aware reconfiguration actions. Traditionally, scientific applications that make use of high-performance computing cannot reallocate resources once assigned, making it difficult to adapt workloads. Dynamic resource management, especially through the adaptability of MPI processes, is proposed as a solution to this limitation. Thanks to the integration of TALP, DMRlib will offer new reconfiguration policies based on performance metrics such as parallel efficiency, load balancing, or communication efficiency.