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This is a phase prior to the normal EAR utilization, and it is called learning phase since is a kind of hardware characterization of the nodes.
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During the learning phase a matrix of coefficients are computed and stored on all nodes. This coefficients next to some measurements, are used to predict the performance and energy costs of each repetitive sections of each application. To computed them, a set of stress tools (or kernels), are included in this package and are executed for a selected range of system frequencies.
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During the learning phase a matrix of coefficients are computed and stored on all nodes. This coefficients next to some measurements, are used to predict the performance and energy costs of each repetitive sections of each application. To compute them, a set of kernels (stress tools), are included in this package and are executed for a selected range of system frequencies.
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A set of scripts to simplify the learning phase is provided in the `scripts` folder. It is also included the code of these stressing tools in the folder `kernels`. |
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A set of scripts to simplify the learning phase is provided in the `scripts` folder. It is also included the code of these stressing tools in the folder `kernels`. It is required that the variable `$EAR_INSTALL_PATH` is set in the environment, by loading the EAR module or just defining it manually.
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Learning phase steps
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1) Compile the kernels as described in the [compile guide](1-˗-Kernels-compile)
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2) Make a lists files of the nodes where these kernels will run to following the [lists guidelines](2-˗-Nodes-lists-guidelines).
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3) Test these kernels in a node through [test guide](3-˗-Kernels-test).
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4) Execute these kernels using all your nodes lists as described in the [launch guide](4-˗-Kernels-launch).
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5) Generate the coefficient files following the [coefficient files guide](5-˗-Coefficients-compute) |
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