PLEASE NOTE: There are several important requirements for running FLO-2D on Galileo:
You must supply a valid systemflP.dll file and place it in the top level of your Galileo project folder. This file can typically be found in the C:\Program Files (x86)\FLO-2D PRO directory
You must email us at [email protected] and ask for an invitation to a “Windows” station, FLO-2D will not run on the default station “Linux” station. You must set the default station to “Windows” when you create a mission.
If you would like to use a custom or specific FLOPRO.exe executable, place it at the top level of your Galileo project folder and it will be used for the simulation
When you log into Galileo, the first thing you’ll see is your Dashboard:
To run the FLO-2D example, start by navigating to the Missions tab using the side menu.
Drag and drop the entire FLO2D_example folder you downloaded from GitHub to the “Add a mission” staging area. Once the folder has been uploaded, click on the “Run mission” button in the newly-created “FLO2D_example” mission below the staging area. You will be asked to select a station on which to run the mission.
Choose the “Windows” station to begin and click “Run mission”. After the mission has been launched, you’ll be able to see the job running in the Jobs tab.
Create the mission environment by choosing a password to access the Jupyter session. You can install any dependencies either by selecting them from the drop-down menu of popular repositories or by entering the packages’ names manually. Click Next.
When the example job completes, download the results by clicking on the three-doct icon. The results folder will be downloaded as a .zip that contains an output.log file returning the results of the analysis and a folder called results where files that were created by the analysis are stored.
Let’s take a look at the output.log file, which returns the screen output generated:
When you drag and drop a custom FLO-2D job’s folder to start a mission on Galileo, the Configuration Wizard will appear to help you create a computing environment that is perfectly-suited for the custom job:
We hope this tutorial was helpful. Please let us know if you have any questions or any problems using Galileo.
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