Hey Karina, the “parfor” loop in MATLAB is designed to execute iterations in parallel, distributing the workload across multiple workers or processor cores. Each iteration of a “parfor” loop is treated as an independent task that can be executed concurrently.
However, running iterations in parallel means that the order of execution is not guaranteed. The iterations may execute in a different order compared to a regular “for” loop. This can lead to issues when the execution of one iteration depends on the results of a previous iteration, as in your case where the previous loop needs to run before the next one.
When using a “parfor” loop, MATLAB divides the iterations into smaller tasks that can be executed independently. These tasks are distributed to different workers, and the order of execution can vary depending on the availability of workers and the workload on each worker. As a result, the guarantee of sequential execution is lost.
Even in cases where you have dependencies with each iteration it is recommended to use the “for” loop only.
This is why a regular “for” loop is more appropriate when you need to run the previous loop before the next one in your specific scenario of displaying data and video simultaneously.
If performance is a concern and you have access to parallel computing resources, you could consider restructuring your code to identify independent tasks that can be executed in parallel, while ensuring that dependent tasks are executed sequentially.
