- The given output indicates that the OS or the scheduling software is restricting MATLAB from using all available cores on the machine. MATLAB cannot control this behavior. However, you might be able to remove any restrictions by updating your environment (docker/ cluster/ scheduler) settings that are restricting the number of cores allocated to a process.
- If the 'Processes' profile was updated to use NumWorkers = 64 on this machine and parpool was then called Parallel Computing Toolbox would start 64 workers but they would be restricted to just the resources the OS has assigned. This would likely lead to resource contention. *
*One exception to this situation is on high core count Windows machines with > 64 cores where an OS restriction may indicate the presence of "processor groups". In this will not limit the ability to start process parpools larger than 64 workers and the NumWorkers in the 'Processes' profile can be safely adjusted using these steps.
