acquire-release semantic

Blocking and Non-Blocking Algorithms

Blocking, non-blocking, lock-free and wait-free. Each of these terms describes a key characteristic of an algorithm when executed in a concurrent environment. So, reasoning about the runtime behaviour of your program often means to put your algorithm in the right bucket. Therefore, this post is about buckets.

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Thread-Safe Initialization of a Singleton

There are a lot of issues with the singleton pattern. I'm totally aware of that. But the singleton pattern is an ideal use case for a variable, which has only to be initialized in a thread safe way. From that point on you can use it without synchronization. So in this post I discuss different ways to initialize a singleton in a multithreading environment. You get the performance numbers and can reason about your uses cases for the thread safe initialization of a variable.

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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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Acquire-Release Fences

Acquire and release fences guarantees similar synchronisation and ordering constraints as atomics with acquire-release semantic. Similar, because the differences are in the details.

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Fences are Memory Barriers

The key idea of a std::atomic_thread_fence is, to establish synchronisation and ordering constraints between threads without an atomic operation.

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Acquire-Release Semantic - The typical Misunderstanding

A release operation synchronizes-with an acquire operation on the same atomic variable. So we can easily synchronise threads, if ... . Today's post is about the if.

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memory_order_consume

std::memory_order_consume is the most legendary of the six memory models. That's for two reasons. At one hand, std::memory_order_consume is extremely hard to get. At the other hand - that may change in the future - no compiler supports it.

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