How do parallel and asynchronous processing compare in performance?
Parallel processing allows multiple tasks to be executed simultaneously, while asynchronous processing handles tasks independently without waiting for others to complete. This can lead to different performance outcomes depending on the task.
Can you give me an example of when to use each?
Sure! Use parallel processing for tasks that can be divided into smaller, independent tasks, like image processing. Use asynchronous processing for I/O-bound tasks, like web requests, where waiting for a response is common.
What are the advantages of each approach?
Parallel processing can significantly reduce execution time for CPU-bound tasks, while asynchronous processing improves responsiveness and resource utilization for I/O-bound tasks.
Are there any downsides to using parallel processing?
Yes, parallel processing can introduce complexity in managing shared resources and may lead to overhead from context switching, which can negate performance benefits in some cases.
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