What problems do you know related to parallelization?

Race Condition: Multiple threads simultaneously access shared resources, and the order of operations depends on the thread scheduler, leading to unpredictable results.

Deadlock: Two or more threads wait for resources held by each other, causing all involved threads to hang.

Starvation: One or more threads do not get access to necessary resources for a long time, while other threads actively use them.

Priority Inversion: A low-priority thread blocks the execution of a higher-priority thread by holding a necessary resource.

Overhead: The costs of creating, synchronizing, and managing threads can outweigh the benefits of parallel execution for small or unoptimized tasks.

Debugging Complexity: Tracking and reproducing errors in parallel systems is significantly more difficult due to the non-deterministic nature of execution.

Incorrect Synchronization: Improper use of synchronization primitives (mutexes, semaphores) can lead to issues similar to race conditions or deadlocks.

Scalability: Parallel solutions may not scale efficiently with increasing core counts due to algorithmic limitations or high inter-task dependencies.