Ongoing Optimization: Acquire-Release Semantics with CppMem
With the acquire-release semantics, we break the sequential consistency. In the acquire-release semantics, synchronization occurs between atomic operations on the same atomic and not between threads.
Acquire-release semantic
The acquire-release semantic is more lightweight and, therefore, faster than the sequential consistency because the synchronization only occurs between atomic operations. But although the intellectual challenge increases.
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// ongoingOptimizationAcquireRelease.cpp #include <atomic> #include <iostream> #include <thread> std::atomic<int> x{0}; std::atomic<int> y{0}; void writing(){ x.store(2000,std::memory_order_relaxed); y.store(11,std::memory_order_release); } void reading(){ std::cout << y.load(std::memory_order_acquire) << " "; std::cout << x.load(std::memory_order_relaxed) << std::endl; } int main(){ std::thread thread1(writing); std::thread thread2(reading); thread1.join(); thread2.join(); }; |
At first glance, you will notice that all operations are atomic. So the program is well-defined. But the second glance shows more. The atomic operations on y are attached with the flags std::memory_order_release (line 12) and std::memory_order_acquire (line 16). In contrast, the atomic operations on x are annotated with std::memory_order_relaxed. So there are no synchronization and ordering constraints for x. The key for the possible values for x and y can only be answered by y.
It holds:
- y.store(11,std::memory_order_release) synchronizes-with y.load(std::memory_order_acquire)
- x.store(2000,std::memory_order_relaxed is visible before y.store(11,std::memory_order_release)
- y.load(std::memory_order_acquire) is visible before x.load(std::memory_order_relaxed)
I will elaborate a little bit more on these three statements. The key idea is that the store of y in line 10 synchronizes with the load of y in line 16. The reason is that the operations occur on the same atomic and follow the acquire-release semantic. So y uses std::memory_order_release in line 12 and std::memory_order_acquire in line 16. But the pairwise operations on y have another very interesting property. They establish a kind of barrier relative to y. So x.store(2000,std::memory_order_relaxed) can not be executed after y.store(std::memory_order_release), so x.load() can not be executed before y.load().
The reasoning was in the case of the acquire-release semantic more sophisticated than in the case of the sequential consistency. But the possible values for x and y are the same. Only the combination y == 11 and x == 0 is no possible.
Three different interleavings of the threads are possible, producing the three different combinations of x and y.
- thread1 will be executed before thread2.
- thread2 will be executed before thread1.
- thread1 executes x.store(2000), before thread2 will be exectued.
At the end the table.
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CppMem
At first, the program once more with CppMem.
int main(){
atomic_int x= 0;
atomic_int y= 0;
{{{ {
x.store(2000,memory_order_relaxed);
y.store(11,memory_order_release);
}
||| {
y.load(memory_order_acquire);
x.load(memory_order_relaxed);
}
}}}
}
We already know all results except of (y=11, x=0) are possible.
Possible executions
Have a look at the three graphs with consistent execution. The graphs show an acquire-release semantics between the store-release of y and the load-acquire from y. It makes no difference if the reading of y (rf) occurs in the main thread or a separate thread. The graphs show the synchronizes-with relation with an sw arrow.
Execution for (y=0, x= 0)
Execution for (y= 0, x= 2000)
Execution for (y=11, x= 2000)
What’s next?
But we can do better. Why should x be atomic? There is no reason. That was my first but incorrect assumption. Why? You will read it in the next post.
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Thanks, in particular, to Jon Hess, Lakshman, Christian Wittenhorst, Sherhy Pyton, Dendi Suhubdy, Sudhakar Belagurusamy, Richard Sargeant, Rusty Fleming, John Nebel, Mipko, Alicja Kaminska, Slavko Radman, and David Poole.
My special thanks to Embarcadero | |
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My special thanks to Tipi.build | |
My special thanks to Take Up Code | |
My special thanks to SHAVEDYAKS |
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