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The Top-Down Microarchitecture Analysis Method introduced by Yasin [31] established a simple yet effective generic approach to performance analysis. It can be used to analyze whichmicro architectural resource poses a bottleneck during the execution of arbitrary codes. The recently introduced Golden Cove microarchitecture used in Intel’s Sapphire Rapids processors provides an extended, automated hardware support for this analysis. In this paper, we describe the implementation of this micro architectural feature, integrate support into the performance measurement infrastructure Score-P, and explore the capabilities of the resulting tool with two example applications: The Computational Fluid Dynamics (CFD) solver for turbo-machinery applications Hydra [23], and the open-source weather and climate model ICON [32].

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Towards Large-Scale Top-Down Microarchitecture Analysis Using the Score-P Framework

  • 会议论文

  • 发表日期：

    2025年

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  • Maximilian Sander,
  • Hannes Tröpgen,
  • Christian von Elm,
  • Robert Schöne

摘要

The Top-Down Microarchitecture Analysis Method introduced by Yasin [31] established a simple yet effective generic approach to performance analysis. It can be used to analyze whichmicro architectural resource poses a bottleneck during the execution of arbitrary codes. The recently introduced Golden Cove microarchitecture used in Intel’s Sapphire Rapids processors provides an extended, automated hardware support for this analysis. In this paper, we describe the implementation of this micro architectural feature, integrate support into the performance measurement infrastructure Score-P, and explore the capabilities of the resulting tool with two example applications: The Computational Fluid Dynamics (CFD) solver for turbo-machinery applications Hydra [23], and the open-source weather and climate model ICON [32].