Condition Variables

Condition variables allow us to synchronize threads via notifications. So, you can implement workflows like sender/receiver or producer/consumer. In such a workflow, the receiver is waiting for the the sender's notification. If the receiver gets the notification, it continues its work.

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Thread-Local Data

By using the keyword thread_local, you define the thread local data. Thread-local can easily be explained in a few words.

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Thread-Safe Initialization of Data

In case the data is not modified when shared between threads, the story is simple. The data has only to be initialized in the thread safe way. It is not necessary to use an expensive lock for each access.

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Reader-Writer Locks

With C++14 came reader-writer locks. The idea is straightforward and promising. Arbitrary reading threads can access the critical region at the same time, but only one thread is allowed to write.

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Tags: lock
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Prefer Locks to Mutexes

If the previous post showed something, it's, that you should use mutexes with great care. That's why you should wrap them in a lock.

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Tags: lock, mutex
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The Risks of Mutexes

Usage of mutexes seems extremely simple. There is a critical section in the code, which can only be accessed by a single thread at any point  of time. It's ensured by a mutex m. The calls m.lock() and m.unlock() guarantee this exclusivity. But, the devil is in the details.

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Tags: mutex
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Source Code Repository

I created a repository for the source code. It's on GitHub and has the name ModernesCppSource:
https://github.com/RainerGrimm/ModernesCppSource.git

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Thread Creation

Thread creation is easy. Call  std::thread, and a new thread will be created. The thread gets a work package and starts it immediately. The creator of the thread (the Parent) has to take care of the created thread (the child). The Parent should wait until its child is done with its task or has to detach itself from its child. The child thread can get its payload task arguments by copy or by reference.

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Threads Sharing Data

One of the biggest challenges of thread-management begins when the threads share non-const data

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