Suppose we have
std::atomic<int> x = 0;
// thread 1
foo();
x.store(1, std::memory_order_relaxed);
// thread 2
assert(x.load(std::memory_order_relaxed) == 1);
bar();
There is, first of all, no guarantee that thread 2 will observe the value 1 (that is, the assert may fire). But even if thread 2 does observe the value 1, while thread 2 is executing bar()
, it might not observe side effects generated by foo()
in thread 1. And if foo()
and bar()
access the same non-atomic variables, a data race may occur.
Now suppose we change the example to:
std::atomic<int> x = 0;
// thread 1
foo();
x.store(1, std::memory_order_release);
// thread 2
assert(x.load(std::memory_order_acquire) == 1);
bar();
There is still no guarantee that thread 2 observes the value 1; after all, it could happen that the load occurs before the store. However, in this case, if thread 2 observes the value 1, then the store in thread 1 synchronizes with the load in thread 2. What this means is that everything that's sequenced before the store in thread 1 happens before everything that's sequenced after the load in thread 2. Therefore, bar()
will see all the side effects produced by foo()
and if they both access the same non-atomic variables, no data race will occur.
So, as you can see, the synchronization properties of operations on x
tell you nothing about what happens to x
. Instead, synchronization imposes ordering on surrounding operations in the two threads. (Therefore, in the linked example, the result is always 5, and does not depend on the memory ordering; the synchronization properties of the fetch-add operations don't affect the effect of the fetch-add operations themselves.)