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# Learning phase
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This is a necessary phase prior to the normal EAR utilization and is a kind of hardware characterization of the nodes. During the phase a matrix of coefficients are calculated and stored. These coefficients will be used to predict the energy consumption and performance of each application.
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This is a necessary phase prior to the normal EAR utilization and is a kind of hardware characterization of the nodes. During the phase a matrix of coefficients are calculated and stored. These coefficients will be used to predict the energy consumption and performance of each application.
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Please, visit the learning phase [wiki page](https://gitlab.bsc.es/ear_team/ear_learning/-/wikis/home) to read the manual and the [repository](https://gitlab.bsc.es/ear_team/ear_learning) to get the scripts and the kernels.
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Please, visit the learning phase [wiki page](https://gitlab.bsc.es/ear_team/ear_learning/-/wikis/home) to read the manual and the [repository](https://gitlab.bsc.es/ear_team/ear_learning) to get the scripts and the kernels.
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## Tools
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The following table lists tools provided with EAR package to work with coefficients computed during the learning phase.
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| **Name** | **Description** | **Basic arguments** |
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|---------------- |-------------------------------------------------------- |------------------------------------------- |
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| coeffs_compute | Computes the learning coefficients. | \<save path\> \<min_freq\> \<nodename\> |
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| coeffs_default | Computes the default coefficients file. | |
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| coeffs_null | Creates a dummy configuration file to be used by EARD. | \<coeff_path\>, \<max_freq\> \<min_freq\> |
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| coeffs_show | Shows the computed coefficients file in text format. | \<file_path\> |
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> Use the argument `--help` to expand the application information and list the admitted flags.
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### Examples
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Compute the coefficients for the node `node1001` in which the minimum frequency set during the learning phase was 1900000 KHz
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`./coeffs_compute /etc/coeffs 1900000 node1001` |