fortran-compiler-with-two-computers

This project facilitates the workflow of compiling .for (Fortran) files on one computer and running the compiled output (DLL) on another. It is ideal for distributed environments where simulation and compilation processes are handled by separate machines.

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Project Overview

• hiwi-pc.py: Manages the preparation, parameterization, and monitoring of .for files on the simulation machine.
• fortran.py: Monitors the shared folder, compiles .for files into DLL (or equivalent compiled output), and transfers the compiled files back to the shared folder.

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Workflow

1. Parameterization and File Preparation (hiwi-pc.py)

• Reads an Excel file containing simulation parameters.
• Updates the .for file with the parameter values.
• Saves the updated .for file in simulation-specific folders.
• Transfers .for files to the shared folder for compilation.

2. Compilation (fortran.py)

• Monitors the shared folder for .for files.
• Compiles the .for files into DLL files using Abaqus or another compilation tool.
• Returns the compiled files to the shared folder.

3. Simulation (hiwi-pc.py)

• Retrieves the compiled files from the shared folder.
• Executes the simulation (e.g., using Abaqus) with the compiled files.

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Future Improvements

Run Continuously (24/7)

Enhance fortran.py to run continuously as a system service, ensuring it resumes automatically after a system reboot. This could include:

• Task Scheduler (Windows): Configure the script to start at system startup using the Task Scheduler.
• Systemd (Linux): Create a systemd service to manage the script as a background process.
• Automatic Logging: Implement logging mechanisms to capture detailed activity logs, errors, and debug information.
• Restart Mechanisms: Add functionality to handle unexpected script failures and ensure the service restarts automatically.