What are the downsides of parallelism in computing?

What are the downsides of parallelism in computing?

While parallelism can improve performance, it also introduces complexities like race conditions and increased debugging difficulty.

Can you explain what race conditions are?

Race conditions occur when multiple processes access shared data simultaneously, leading to unpredictable results.

How can we avoid race conditions?

To avoid race conditions, you can use synchronization mechanisms like locks, semaphores, or atomic operations.

Are there any other challenges with parallelism?

Yes, other challenges include overhead from managing parallel tasks and difficulties in load balancing.