Tutorials

This section provides step-by-step tutorials for common use cases of the Scheduler library.

Basic Tutorials

• Basic Detector Optimization: Learn how to optimize detector parameters using a simple objective function
• Script-Based Optimization: Use external scripts for your optimization objective
• Container-Based Optimization: Run containerized applications as optimization objectives

Advanced Tutorials

• Using Slurm for Execution: Scale up your optimization with Slurm cluster computing
• Using PanDA for Execution: Distribute optimization trials across the grid with PanDA
• Batch Trial Submission: Submit multiple trials in parallel for efficient exploration
• Asynchronous Execution: Run trials asynchronously for better resource utilization
• Experiment Persistence: Save and load experiments to resume optimization