What is the difference between parallel processing and concurrency?
An example of an AI chatbot conversation about parallel processing and concurrency.
What is the difference between parallel processing and concurrency?
Parallel processing involves executing multiple tasks simultaneously, while concurrency is about managing multiple tasks at once.
Can you give me an example of each?
Sure! In parallel processing, multiple processors work on different parts of a task at the same time. In concurrency, a single processor may switch between tasks to give the illusion of simultaneous execution.
Which one is more efficient?
It depends on the task. Parallel processing can be more efficient for CPU-bound tasks, while concurrency is better for I/O-bound tasks.
How do programming languages handle these concepts?
Many languages have built-in support for both, like Python with its threading and multiprocessing libraries, allowing developers to choose the best approach.
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