ConfiguredScheduling/SPS

Parallel computing involves breaking down a large task into smaller subtasks that can be executed simultaneously. Scheduling is the process of assigning these subtasks to different processors to optimize resource utilization and improve overall system performance.

Here's a generic explanation of parallel task scheduling:

1. Task Decomposition:
   • Divide the main task into smaller tasks or threads that can be executed concurrently.
2. Task Dependencies:
   • Identify dependencies between tasks. Some tasks may need the results of others before they can start.
3. Processor Assignment:
   • Assign tasks to processors based on factors like load balancing, minimizing communication overhead, and maximizing resource utilization.
4. Scheduling Policies:
   • Define scheduling policies that govern how tasks are assigned to processors. This could involve strategies like round-robin, first-come-first-serve, or more sophisticated algorithms based on task priority or resource availability.
5. Dynamic Scheduling:
   • In some cases, dynamic scheduling is employed, where tasks are assigned to processors at runtime based on the current system state.