Computational Performance and Energy Efficiency of ARM based HPC servers
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arXiv
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866929408513671168 |
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| author | Schirmer, Oskar |
| author_facet | Schirmer, Oskar |
| contents | HPC world is dominated by x86 ISA CPUs. This monoculture is not necessarily justified by best performance evaluation, but may inherit from e.g. SW related restrictions on the choice of HW platforms. To avoid running (further) into path dependency, alternate HW platforms need to be evaluated for performance compared to existing HPC setup. As a result, it may turn out alternate HW platforms are more efficient for HPC. In any case, even if performance differences are low, avoiding path dependencies that stem from HW choice restrictions simplifies switching to different HW platforms in future, should suitable systems evolve. Moreover, broadening the perspective to generic HW platforms may trigger cooperation and wield influence on HW platform development, resulting in HW/SW co-design advantages. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_03148 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Computational Performance and Energy Efficiency of ARM based HPC servers Schirmer, Oskar Distributed, Parallel, and Cluster Computing HPC world is dominated by x86 ISA CPUs. This monoculture is not necessarily justified by best performance evaluation, but may inherit from e.g. SW related restrictions on the choice of HW platforms. To avoid running (further) into path dependency, alternate HW platforms need to be evaluated for performance compared to existing HPC setup. As a result, it may turn out alternate HW platforms are more efficient for HPC. In any case, even if performance differences are low, avoiding path dependencies that stem from HW choice restrictions simplifies switching to different HW platforms in future, should suitable systems evolve. Moreover, broadening the perspective to generic HW platforms may trigger cooperation and wield influence on HW platform development, resulting in HW/SW co-design advantages. |
| title | Computational Performance and Energy Efficiency of ARM based HPC servers |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2407.03148 |