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Home · Changes

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Update Home authored Sep 15, 2022 by cpenadep's avatar cpenadep
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Home.md
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......@@ -6,12 +6,12 @@ Nemo modelfactors is a wrapper made to simplify and automatize the process of ob
This script relies on the following tools:
* *Extrae (4.0.0 or above)*
* *Paraver*
* *Dimemas (5.4.2-devel)*
* *Basicanalysis*
* _Extrae (4.0.0 or above)_
* _Paraver_
* _Dimemas (5.4.2-devel)_
* _Basicanalysis_
*They can be downloaded at https://tools.bsc.es/downloads* and need to be installed, loaded and available through the PATH environment variable.
_They can be downloaded at_ _https://tools.bsc.es/downloads_ and need to be installed, loaded and available through the PATH environment variable.
The script requires the following list of modules, needed for execute NEMO, to be loaded before the script execution:
......@@ -24,8 +24,8 @@ The script requires the following list of modules, needed for execute NEMO, to b
* Clone this repository wherever you please.
* Inside the cloned repository use `git submodule update --init` to load the submodules.
* ***Edit the file perf_metrics.config and replace the parameters values with the suited information.***
* ***MINIMUM CHANGES perf_metrics.config:***
* **_Edit the file perf_metrics.config and replace the parameters values with the suited information._**
* **_MINIMUM CHANGES perf_metrics.config:_**
* Nemo_path, change the value to the path were NEMO is installed in your machine.
* Nemo_input_data, change the value to the path were the input data for the configuration is downloaded.
* Compilation_arch, replace the value with the name of the arch file that you use to compile NEMO.
......@@ -81,6 +81,8 @@ It contains:
## Data generated
**_The statistic produced is focusing on the timestep loop, so these numbers are not related to the initialization and finalization parts._**
All the data generated can be found inside the Metrics folder.
* **Overview file "overview.txt":** Contains a summary of the most important and easy to understand metrics such as Speedup, IPC and Frequency, and Global efficiency.
......
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