... | @@ -6,11 +6,11 @@ On SDK4ED project selection, the only optional parameter that the user can provi |
... | @@ -6,11 +6,11 @@ On SDK4ED project selection, the only optional parameter that the user can provi |
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only if a certain commit of the project under analysis is needed to be analysed and stored in the database.
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only if a certain commit of the project under analysis is needed to be analysed and stored in the database.
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On the Energy Toolbox page, the user can select to perform a New analysis or retrieve the results of the Last analysis from the database:
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On the Energy Toolbox page, the user can select to perform a New analysis or retrieve the results of the Last analysis from the database:
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![image](https://gitlab.seis.iti.gr/sdk4ed-wiki/wiki-home/wikis/uploads/energy_new_last.png)
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![new_last_analysis](uploads/2563c2596ef03cda7ea5e04247634c2b/new_last_analysis.PNG)
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The user can also select the Analysis Scale using the drop-down menu:
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The user can also select the Analysis Scale using the drop-down menu:
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![image](https://gitlab.seis.iti.gr/sdk4ed-wiki/wiki-home/wikis/uploads/energy_analysis_scale.png)
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![energy_analysis_type](uploads/7edcce1f4e401e01f8093eb96c56a708/energy_analysis_type.PNG)
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More specifically, each selection functionality is described below:
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More specifically, each selection functionality is described below:
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- Energy Consumption Estimation Component (Static Analysis): It is part of the Consumption Analysis sub-component. Its functionality is described in D5.6, while D4.5 gives a complete section with details on its design and implementation. It is based on the CLANG compiler, the LLVM-mca, as well as the Scikit learn Python library. Static analysis tool incorporates estimation models and is capable of providing fast results, also giving the developer the opportunity to make Energy Consumption predictions about running an application on different platforms.
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- Energy Consumption Estimation Component (Static Analysis): It is part of the Consumption Analysis sub-component. Its functionality is described in D5.6, while D4.5 gives a complete section with details on its design and implementation. It is based on the CLANG compiler, the LLVM-mca, as well as the Scikit learn Python library. Static analysis tool incorporates estimation models and is capable of providing fast results, also giving the developer the opportunity to make Energy Consumption predictions about running an application on different platforms.
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