Open the Study manager

Procedure

1. Press F12 to switch to Simulation mode.

2. Open the Study Manager.

   Figure 15: Opening the Study Manager

3. Select the study which you want to execute.

4. Select HPC as the mode for study execution in the drop-down list.

   The HPC run settings tab becomes available. Figure 16: Start HPC Run

5. Use the HPC run settings tab to configure the run settings.

   By default, the settings in this tab correspond to the settings you defined in the Simcenter Amesim Preferences. However you can modify them for a given study. Settings defined in the HPC run settings tab are specific to the selected study.

   Compile model before submitting: compile the model using the local
    compiler before uploading to the HPC cluster. Only available for running the model on Linux
    HPC clusters.Note 
     This can be done both from Linux and from Windows. If done from Linux,
      the compiler set in the preferences is used. On Windows, the cross-compiler
      Windows=>Linux provided by Simcenter Amesim is used.
      For Windows you must therefore install this cross-compiler when installing Simcenter Amesim.
   

   Pre and Post processing scripts: select Python scripts that will be used to prepare and/or post-process your model. These scripts will allow you to generate data and extract results of interest. Note Pre and Post processing Python scripts are remotely executed within the AMEPython context. No extra Python modules or external dependencies are supported unless they are available in the Simcenter Amesim setup directory or model.

   Pre and post-processing scripts are executed directly in the working directory to which the Simcenter Amesim model was uploaded and expanded. Post-processing results must be stored in the outfiles folder (automatically created). For example, a results file could be created within a post-processing script using the following Python syntax: Copy# Write extracted data to a results file with open(os.path.join("outfiles", "out_postproc.csv"), "x") as results_file: results_file.write("Post-processing results:\n") ... For more information on pre and post-processing scripts, refer to Pre and post-processing scripts.

   Working Directory: enter the path to the directory on the HPC machine where models are copied and processed.

   Number of nodes: enter the number of nodes to be used on the HPC machine where the simulations will be computed.

   Number of cores: enter the number of cores to be used on the HPC machine where the simulations will be computed.

   Time Limit: indicate the maximum permitted duration for the simulation. Note If the simulation has not finished within the allotted time, you will not get access to all the results.

   You can also use HPC with batch studies. However settings must be defined from the Simcenter Amesim Preferences (see Manually entering configuration details).

6. Click Start Run.

Results

The model is saved and uploaded to the

HPC

machine, and job execution starts. A message banner is displayed to confirm that the study has been successfully submitted to the HPC cluster:

Figure 17: Successful submission

Note

User libraries, submodels, supercomponents or data files contained in a model are automatically embedded and uploaded to the HPC cluster to ensure that the simulation runs correctly.