Ongoing Optimization

Ongoing Optimization: Relaxed Semantic with CppMem

With the relaxed semantic, we have no synchronisations and ordering constraints on atomic operations.

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Ongoing Optimization: A Data Race with CppMem

But we can do better and further improve the acquire-release semantic of the last post. Why should x be an atomic? There is no reason. That was my first, but incorrect assumption. See why?

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Ongoing Optimization: Acquire-Release Semantic with CppMem

With the acquire-releae semantic, we break the sequential consistency. In the acquire-release semantic the synchronization takes place between atomic operations on the same atomic and not between threads.

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Ongoing Optimization: Sequential Consistency with CppMem

With atomic data types, you can tailor your program to your needs and therefore optimize it. But now we are in the domain of the multithreading experts.

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Ongoing Optimization: Locks and Volatile with CppMem

The easiest way to solve the undefined behaviour in the post Ongoing Optimization: Unsynchronized access is, to use a lock.

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Ongoing Optimization: Unsynchronized Access with CppMem

I've described my challenge in the last post. Let' start with our process of ongoing optimization. To be sure, I verify my reasoning with CppMem. I once made a big mistake in my presentation at Meeting C++ 2014.

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Ongoing Optimization

Now it's time to put the theory into practice. The job is quite easy. A small program should undergo an ongoing optimization.

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