On the Challenges of Energy-Efficiency Analysis in HPC Systems: Evaluating Synthetic Benchmarks and Gromacs
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arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866912746271932416 |
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| author | Machado, Rafael Ravedutti Lucio Eitzinger, Jan Hager, Georg Wellein, Gerhard |
| author_facet | Machado, Rafael Ravedutti Lucio Eitzinger, Jan Hager, Georg Wellein, Gerhard |
| contents | This paper discusses the challenges encountered when analyzing the energy efficiency of synthetic benchmarks and the Gromacs package on the Fritz and Alex HPC clusters. Experiments were conducted using MPI parallelism on full sockets of Intel Ice Lake and Sapphire Rapids CPUs, as well as Nvidia A40 and A100 GPUs. The metrics and measurements obtained with the Likwid and Nvidia profiling tools are presented, along with the results. The challenges and pitfalls encountered during experimentation and analysis are revealed and discussed. Best practices for future energy efficiency analysis studies are suggested. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_03697 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | On the Challenges of Energy-Efficiency Analysis in HPC Systems: Evaluating Synthetic Benchmarks and Gromacs Machado, Rafael Ravedutti Lucio Eitzinger, Jan Hager, Georg Wellein, Gerhard Distributed, Parallel, and Cluster Computing Mathematical Software This paper discusses the challenges encountered when analyzing the energy efficiency of synthetic benchmarks and the Gromacs package on the Fritz and Alex HPC clusters. Experiments were conducted using MPI parallelism on full sockets of Intel Ice Lake and Sapphire Rapids CPUs, as well as Nvidia A40 and A100 GPUs. The metrics and measurements obtained with the Likwid and Nvidia profiling tools are presented, along with the results. The challenges and pitfalls encountered during experimentation and analysis are revealed and discussed. Best practices for future energy efficiency analysis studies are suggested. |
| title | On the Challenges of Energy-Efficiency Analysis in HPC Systems: Evaluating Synthetic Benchmarks and Gromacs |
| topic | Distributed, Parallel, and Cluster Computing Mathematical Software |
| url | https://arxiv.org/abs/2512.03697 |