What are the differences between threading and parallel processing?
Threading involves multiple threads within a single process, sharing the same memory space, while parallel processing uses multiple processes, each with its own memory.
Which one is more efficient for CPU-bound tasks?
Parallel processing is generally more efficient for CPU-bound tasks as it can utilize multiple cores effectively.
Are there any scenarios where threading is preferred?
Yes, threading is preferred for I/O-bound tasks where waiting for external resources is common, as it can improve responsiveness.
What are the potential downsides of using threads?
Potential downsides include complexity in managing shared resources, risk of deadlocks, and difficulty in debugging.
Can you give examples of languages that support both?
Languages like Java, Python, and C++ support both threading and parallel processing, allowing developers to choose based on their needs.
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