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<img align="right" src="./images/logo.png">
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<img align="right" src="./images/logo.png">
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EAR 5.1 is a system software for energy management, accounting and optimization for super computers.
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EAR 5.2 is a system software for energy management, accounting and optimization for super computers.
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Main EAR services are:
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Main EAR services are:
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1. Application energy optimization. An **easy-to-use** and **lightweight** optimization service to automatically
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1. Application energy optimization. An **easy-to-use** and **lightweight** optimization service to automatically
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| ... | @@ -7,7 +7,7 @@ select the optimal CPU, memory and GPU frequency according to the application an |
... | @@ -7,7 +7,7 @@ select the optimal CPU, memory and GPU frequency according to the application an |
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EARL is a runtime library automatically loaded with the applications and it offers
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EARL is a runtime library automatically loaded with the applications and it offers
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application metrics monitoring and it can select the frequencies based on the
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application metrics monitoring and it can select the frequencies based on the
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application behaviour on the fly.
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application behaviour on the fly.
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The Library is loaded automatically through the EAR Loader (EARLO) and it can be easly integrated with different system batch schedulers (e.g., SLURM). The EARL provides deep application accounting(both power/energy and performance) and energy optimization in a completelly transparent and dynamic way.
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The Library is loaded automatically through the EAR Loader (EARLO) and it can be easily integrated with different system batch schedulers (e.g., SLURM). The EARL provides deep application accounting(both power/energy and performance) and energy optimization in a completely transparent and dynamic way.
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2. Job and Node monitoring: A complete **energy and performance accounting and monitoring system** .
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2. Job and Node monitoring: A complete **energy and performance accounting and monitoring system** .
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Node and application monitoring are also provided by the EAR core components (EAR library and EAR node manager). These two components are the data provides and information is reported to the DB using the EAR DB manager (EARDBD).
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Node and application monitoring are also provided by the EAR core components (EAR library and EAR node manager). These two components are the data provides and information is reported to the DB using the EAR DB manager (EARDBD).
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| ... | @@ -20,7 +20,7 @@ the system through the EAR Global Manager (EARGMD) and EARD. EAR support a power |
... | @@ -20,7 +20,7 @@ the system through the EAR Global Manager (EARGMD) and EARD. EAR support a power |
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Visit the [architecture page](https://gitlab.bsc.es/ear_team/ear/-/wikis/Architecture) for a detailed description of each of these components.
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Visit the [architecture page](https://gitlab.bsc.es/ear_team/ear/-/wikis/Architecture) for a detailed description of each of these components.
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The [user guide](User-guide) contains information about how to use EAR as an end user in a production environment.
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The [user guide](User-guide) contains information about how to use EAR as an end user in a production environment.
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The [admin guide](https://gitlab.bsc.es/ear_team/ear/-/wikis/Admin-guide) has all the information related to the installation and setting up, as well as all core components details.
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The [admin guide](https://gitlab.bsc.es/ear_team/ear/-/wikis/Admin-guide) has all the information related to the installation and setting up, as well as all core components details.
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Moreover, you can find a list of [tutorials](https://gitlab.bsc.es/ear_team/ear/-/wikis/Tutorials) about how to use EAR.
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Moreover, you can find a list of [tutorials](https://gitlab.bsc.es/ear_team/ear_private/-/wikis/Tutorials) about how to use EAR.
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## License
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## License
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| ... | @@ -38,4 +38,4 @@ Contact: [ear-support@bsc.es](mailto:ear-support@bsc.es). |
... | @@ -38,4 +38,4 @@ Contact: [ear-support@bsc.es](mailto:ear-support@bsc.es). |
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[J. Corbalan, L. Alonso, C. Navarrete and C. Guillen, "Soft Cluster Powercap at SuperMUC-NG with EAR," 2022 IEEE 13th International Green and Sustainable Computing Conference (IGSC), Pittsburgh, PA, USA, 2022, pp. 1-8, doi: 10.1109/IGSC55832.2022.9969360](https://ieeexplore.ieee.org/document/9969360)
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[J. Corbalan, L. Alonso, C. Navarrete and C. Guillen, "Soft Cluster Powercap at SuperMUC-NG with EAR," 2022 IEEE 13th International Green and Sustainable Computing Conference (IGSC), Pittsburgh, PA, USA, 2022, pp. 1-8, doi: 10.1109/IGSC55832.2022.9969360](https://ieeexplore.ieee.org/document/9969360)
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## Current version
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## Current version
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This documentation corresponds to EAR version 5.1. |
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This documentation corresponds to EAR version 5.2. |