Resource Monitoring
This page describes the resource usage monitoring feature in the OpenScope Experimental Launcher.
Overview
Resource monitoring allows you to track CPU and memory usage for both the launcher and the acquisition subprocess during an experiment. The data is logged to a file for later analysis and troubleshooting.
How It Works
The launcher always logs resource usage statistics (CPU %, memory in MB) for both itself and (once started) the acquisition subprocess.
The log is written continuously to launcher_metadata/resource_usage.json inside the session output folder.
Logging occurs at a configurable interval (resource_log_interval parameter; default 5 seconds if not provided).
Configuration
Optional parameter to adjust interval:
{
"resource_log_interval": 5
}
If omitted, the default interval of 5 seconds is used. There is no on/off toggle.
Log File Location
The resource usage log is saved as:
<session_output_folder>/launcher_metadata/resource_usage.json
Log File Format
The log file is a JSON array. Each entry contains:
timestamp: ISO format timestamplauncher: CPU and memory usage for the launcher processacquisition: CPU and memory usage for the acquisition subprocess (if running)
Example entry:
{
"timestamp": "2025-06-28T12:34:56.789",
"launcher": {"cpu_percent": 2.5, "memory_mb": 120.3},
"acquisition": {"cpu_percent": 15.2, "memory_mb": 300.1}
}
Notes
Monitoring continues for the launcher even after the acquisition subprocess exits.
Data points are appended; previous samples are preserved for the entire session duration.
Troubleshooting
100% CPU usage means one full core; may be normal during computation.
If the log file is missing, verify the session folder was created and the launcher was not terminated immediately after start.