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Isn’t the sleep() function in Linux thread-safe?

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2023-07-06 17:52:031652browse

The "sleep()" function in the Linux environment is thread-safe, that is, multiple threads can safely call the "sleep()" function concurrently without problems. The "sleep()" function is mainly used for Pause the execution of the current thread for a period of time and give up the CPU to other threads or processes. When the "sleep()" function is called, it will cause the current thread to enter the blocking state until the specified time interval elapses, and then the thread will become available again. Operating status.

Isn’t the sleep() function in Linux thread-safe?

The operating system of this tutorial: Linux5.18.14 system, Dell G3 computer.

In the Linux environment, the sleep() function is thread-safe, that is, multiple threads can safely call the sleep() function concurrently without problems.

The sleep() function is mainly used to pause the execution of the current thread for a period of time and give up the CPU to other threads or processes. When the sleep() function is called, it causes the current thread to enter a blocked state until the specified time interval elapses, and then the thread becomes runnable again.

The thread safety of the sleep() function is guaranteed by the operating system kernel. In Linux, the operating system kernel correctly handles sleep and wake-up operations between threads, ensuring that threads can be suspended and resumed as expected.

But it should be noted that if multiple threads share certain resources, such as shared global variables, additional synchronization measures need to be taken when using these shared resources to avoid race conditions and data inconsistencies. question. The sleep() function itself does not solve these thread synchronization problems, it is only responsible for the suspension and resumption of threads.

Therefore, when writing a multi-threaded program, in addition to considering the use of the sleep() function, it is also necessary to reasonably design and manage access to shared resources to ensure thread safety and data consistency.

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