Core Hours and Carbon Credits: Incentivizing Sustainability in HPC
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arXiv
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| Autori principali: | , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866912741685460992 |
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| author | Kamatar, Alok Gonthier, Maxime Hayot-Sasson, Valerie Bauer, Andre Copik, Marcin Hoefler, Torsten Fernandez, Raul Castro Chard, Kyle Foster, Ian |
| author_facet | Kamatar, Alok Gonthier, Maxime Hayot-Sasson, Valerie Bauer, Andre Copik, Marcin Hoefler, Torsten Fernandez, Raul Castro Chard, Kyle Foster, Ian |
| contents | Realizing a shared responsibility between providers and consumers is critical to manage the sustainability of HPC. However, while cost may motivate efficiency improvements by infrastructure operators, broader progress is impeded by a lack of user incentives. We conduct a survey of HPC users that reveals fewer than 30 percent are aware of their energy consumption, and that energy efficiency is among users' lowest priority concerns. One explanation is that existing pricing models may encourage users to prioritize performance over energy efficiency. We propose two transparent multi-resource pricing schemes, Energy- and Carbon-Based Accounting, that seek to change this paradigm by incentivizing more efficient user behavior. These two schemes charge for computations based on their energy consumption or carbon footprint, respectively, rewarding users who leverage efficient hardware and software. We evaluate these two pricing schemes via simulation, in a prototype, and a user study. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_09557 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Core Hours and Carbon Credits: Incentivizing Sustainability in HPC Kamatar, Alok Gonthier, Maxime Hayot-Sasson, Valerie Bauer, Andre Copik, Marcin Hoefler, Torsten Fernandez, Raul Castro Chard, Kyle Foster, Ian Distributed, Parallel, and Cluster Computing Realizing a shared responsibility between providers and consumers is critical to manage the sustainability of HPC. However, while cost may motivate efficiency improvements by infrastructure operators, broader progress is impeded by a lack of user incentives. We conduct a survey of HPC users that reveals fewer than 30 percent are aware of their energy consumption, and that energy efficiency is among users' lowest priority concerns. One explanation is that existing pricing models may encourage users to prioritize performance over energy efficiency. We propose two transparent multi-resource pricing schemes, Energy- and Carbon-Based Accounting, that seek to change this paradigm by incentivizing more efficient user behavior. These two schemes charge for computations based on their energy consumption or carbon footprint, respectively, rewarding users who leverage efficient hardware and software. We evaluate these two pricing schemes via simulation, in a prototype, and a user study. |
| title | Core Hours and Carbon Credits: Incentivizing Sustainability in HPC |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2501.09557 |