What do each memory_order mean? - c++

I read a chapter and I didn't like it much. I'm still unclear what the differences is between each memory order. This is my current speculation which I understood after reading the much more simple http://en.cppreference.com/w/cpp/atomic/memory_order
The below is wrong so don't try to learn from it
memory_order_relaxed: Does not sync but is not ignored when order is done from another mode in a different atomic var
memory_order_consume: Syncs reading this atomic variable however It doesnt sync relaxed vars written before this. However if the thread uses var X when modifying Y (and releases it). Other threads consuming Y will see X released as well? I don't know if this means this thread pushes out changes of x (and obviously y)
memory_order_acquire: Syncs reading this atomic variable AND makes sure relaxed vars written before this are synced as well. (does this mean all atomic variables on all threads are synced?)
memory_order_release: Pushes the atomic store to other threads (but only if they read the var with consume/acquire)
memory_order_acq_rel: For read/write ops. Does an acquire so you don't modify an old value and releases the changes.
memory_order_seq_cst: The same thing as acquire release except it forces the updates to be seen in other threads (if a store with relaxed on another thread. I store b with seq_cst. A 3rd thread reading a with relax will see changes along with b and any other atomic variable?).
I think I understood but correct me if i am wrong. I couldn't find anything that explains it in easy to read english.

The GCC Wiki gives a very thorough and easy to understand explanation with code examples.
(excerpt edited, and emphasis added)
IMPORTANT:
Upon re-reading the below quote copied from the GCC Wiki in the process of adding my own wording to the answer, I noticed that the quote is actually wrong. They got acquire and consume exactly the wrong way around. A release-consume operation only provides an ordering guarantee on dependent data whereas a release-acquire operation provides that guarantee regardless of data being dependent on the atomic value or not.
The first model is "sequentially consistent". This is the default mode used when none is specified, and it is the most restrictive. It can also be explicitly specified via memory_order_seq_cst. It provides the same restrictions and limitation to moving loads around that sequential programmers are inherently familiar with, except it applies across threads.
[...]
From a practical point of view, this amounts to all atomic operations acting as optimization barriers. It's OK to re-order things between atomic operations, but not across the operation. Thread local stuff is also unaffected since there is no visibility to other threads. [...] This mode also provides consistency across all threads.
The opposite approach is memory_order_relaxed. This model allows for much less synchronization by removing the happens-before restrictions. These types of atomic operations can also have various optimizations performed on them, such as dead store removal and commoning. [...] Without any happens-before edges, no thread can count on a specific ordering from another thread.
The relaxed mode is most commonly used when the programmer simply wants a variable to be atomic in nature rather than using it to synchronize threads for other shared memory data.
The third mode (memory_order_acquire / memory_order_release) is a hybrid between the other two. The acquire/release mode is similar to the sequentially consistent mode, except it only applies a happens-before relationship to dependent variables. This allows for a relaxing of the synchronization required between independent reads of independent writes.
memory_order_consume is a further subtle refinement in the release/acquire memory model that relaxes the requirements slightly by removing the happens before ordering on non-dependent shared variables as well.
[...]
The real difference boils down to how much state the hardware has to flush in order to synchronize. Since a consume operation may therefore execute faster, someone who knows what they are doing can use it for performance critical applications.
Here follows my own attempt at a more mundane explanation:
A different approach to look at it is to look at the problem from the point of view of reordering reads and writes, both atomic and ordinary:
All atomic operations are guaranteed to be atomic within themselves (the combination of two atomic operations is not atomic as a whole!) and to be visible in the total order in which they appear on the timeline of the execution stream. That means no atomic operation can, under any circumstances, be reordered, but other memory operations might very well be. Compilers (and CPUs) routinely do such reordering as an optimization.
It also means the compiler must use whatever instructions are necessary to guarantee that an atomic operation executing at any time will see the results of each and every other atomic operation, possibly on another processor core (but not necessarily other operations), that were executed before.
Now, a relaxed is just that, the bare minimum. It does nothing in addition and provides no other guarantees. It is the cheapest possible operation. For non-read-modify-write operations on strongly ordered processor architectures (e.g. x86/amd64) this boils down to a plain normal, ordinary move.
The sequentially consistent operation is the exact opposite, it enforces strict ordering not only for atomic operations, but also for other memory operations that happen before or after. Neither one can cross the barrier imposed by the atomic operation. Practically, this means lost optimization opportunities, and possibly fence instructions may have to be inserted. This is the most expensive model.
A release operation prevents ordinary loads and stores from being reordered after the atomic operation, whereas an acquire operation prevents ordinary loads and stores from being reordered before the atomic operation. Everything else can still be moved around.
The combination of preventing stores being moved after, and loads being moved before the respective atomic operation makes sure that whatever the acquiring thread gets to see is consistent, with only a small amount of optimization opportunity lost.
One may think of that as something like a non-existent lock that is being released (by the writer) and acquired (by the reader). Except... there is no lock.
In practice, release/acquire usually means the compiler needs not use any particularly expensive special instructions, but it cannot freely reorder loads and stores to its liking, which may miss out some (small) optimization opportuntities.
Finally, consume is the same operation as acquire, only with the exception that the ordering guarantees only apply to dependent data. Dependent data would e.g. be data that is pointed-to by an atomically modified pointer.
Arguably, that may provide for a couple of optimization opportunities that are not present with acquire operations (since fewer data is subject to restrictions), however this happens at the expense of more complex and more error-prone code, and the non-trivial task of getting dependency chains correct.
It is currently discouraged to use consume ordering while the specification is being revised.

This is a quite complex subject. Try to read http://en.cppreference.com/w/cpp/atomic/memory_order several times, try to read other resources, etc.
Here's a simplified description:
The compiler and CPU can reorder memory accesses. That is, they can happen in different order than what's specified in the code. That's fine most of the time, the problem arises when different thread try to communicate and may see such order of memory accesses that breaks the invariants of the code.
Usually you can use locks for synchronization. The problem is that they're slow. Atomic operations are much faster, because the synchronization happens at CPU level (i.e. CPU ensures that no other thread, even on another CPU, modifies some variable, etc.).
So, the one single problem we're facing is reordering of memory accesses. The memory_order enum specifies what types of reorderings compiler must forbid.
relaxed - no constraints.
consume - no loads that are dependent on the newly loaded value can be reordered wrt. the atomic load. I.e. if they are after the atomic load in the source code, they will happen after the atomic load too.
acquire - no loads can be reordered wrt. the atomic load. I.e. if they are after the atomic load in the source code, they will happen after the atomic load too.
release - no stores can be reordered wrt. the atomic store. I.e. if they are before the atomic store in the source code, they will happen before the atomic store too.
acq_rel - acquire and release combined.
seq_cst - it is more difficult to understand why this ordering is required. Basically, all other orderings only ensure that specific disallowed reorderings don't happen only for the threads that consume/release the same atomic variable. Memory accesses can still propagate to other threads in any order. This ordering ensures that this doesn't happen (thus sequential consistency). For a case where this is needed see the example at the end of the linked page.

I want to provide a more precise explanation, closer to the standard.
Things to ignore:
memory_order_consume - apparently no major compiler implements it, and they silently replace it with a stronger memory_order_acquire. Even the standard itself says to avoid it.
A big part of the cppreference article on memory orders deals with 'consume', so dropping it simplifies things a lot.
It also lets you ignore related features like [[carries_dependency]] and std::kill_dependency.
Data races: Writing to a non-atomic variable from one thread, and simultaneously reading/writing to it from a different thread is called a data race, and causes undefined behavior.
memory_order_relaxed is the weakest and supposedly the fastest memory order.
Any reads/writes to atomics can't cause data races (and subsequent UB). relaxed provides just this minimal guarantee, for a single variable. It doesn't provide any guarantees for other variables (atomic or not).
All threads agree on the order of operations on every particular atomic variable. But it's the case only for invididual variables. If other variables (atomic or not) are involved, threads might disagree on how exactly the operations on different variables are interleaved.
It's as if relaxed operations propagate between threads with slight unpredictable delays.
This means that you can't use relaxed atomic operations to judge when it's safe to access other non-atomic memory (can't synchronize access to it).
By "threads agree on the order" I mean that:
Each thread will access each separate variable in the exact order you tell it to. E.g. a.store(1, relaxed); a.store(2, relaxed); will write 1, then 2, never in the opposite order. But accesses to different variables in the same thread can still be reordered relative to each other.
If a thread A writes to a variable several times, then thread B reads seveal times, it will get the values in the same order (but of course it can read some values several times, or skip some, if you don't synchronize the threads in other ways).
No other guarantees are given.
Example uses: Anything that doesn't try to use an atomic variable to synchronize access to non-atomic data: various counters (that exist for informational purposes only), or 'stop flags' to signal other threads to stop. Another example: operations on shared_ptrs that increment the reference count internally use relaxed.
Fences: atomic_thread_fence(relaxed); does nothing.
memory_order_release, memory_order_acquire do everything relaxed does, and more (so it's supposedly slower or equivalent).
Only stores (writes) can use release. Only loads (reads) can use acquire. Read-modify-write operations such as fetch_add can be both (memory_order_acq_rel), but they don't have to.
Those let you synchronize threads:
Let's say thread 1 reads/writes to some memory M (any non-atomic or atomic variables, doesn't matter).
Then thread 1 performs a release store to a variable A. Then it stops
touching that memory.
If thread 2 then performs an acquire load of the same variable A, this load is said to synchronize with the corresponding store in thread 1.
Now thread 2 can safely read/write to that memory M.
You only synchronize with the latest writer, not preceding writers.
You can chain synchronizations across multiple threads.
There's a special rule that synchronization propagates across any number of read-modify-write operations regardless of their memory order. E.g. if thread 1 does a.store(1, release);, then thread 2 does a.fetch_add(2, relaxed);, then thread 3 does a.load(acquire), then thread 1 successfully synchronizes with thread 3, even though there's a relaxed operation in the middle.
In the above rule, a release operation X, and any subsequent read-modify-write operations on the same variable X (stopping at the next non-read-modify-write operation) are called a release sequence headed by X. (So if an acquire reads from any operation in a release sequence, it synchronizes with the head of the sequence.)
If read-modify-write operations are involved, nothing stops you from synchronizing with more than one operation. In the example above, if fetch_add was using acquire or acq_rel, it too would synchronize with thread 1, and conversely, if it used release or acq_rel, the thread 3 would synchonize with 2 in addition to 1.
Example use: shared_ptr decrements its reference counter using something like fetch_sub(1, acq_rel).
Here's why: imagine that thread 1 reads/writes to *ptr, then destroys its copy of ptr, decrementing the ref count. Then thread 2 destroys the last remaining pointer, also decrementing the ref count, and then runs the destructor.
Since the destructor in thread 2 is going to access the memory previously accessed by thread 1, the acq_rel synchronization in fetch_sub is necessary. Otherwise you'd have a data race and UB.
Fences: Using atomic_thread_fence, you can essentially turn relaxed atomic operations into release/acquire operations. A single fence can apply to more than one operation, and/or can be performed conditionally.
If you do a relaxed read (or with any other order) from one or more variables, then do atomic_thread_fence(acquire) in the same thread, then all those reads count as acquire operations.
Conversely, if you do atomic_thread_fence(release), followed by any number of (possibly relaxed) writes, those writes count as release operations.
An acq_rel fence combines the effect of acquire and release fences.
Similarity with other standard library features:
Several standard library features also cause a similar synchronizes with relationship. E.g. locking a mutex synchronizes with the latest unlock, as if locking was an acquire operation, and unlocking was a release operation.
memory_order_seq_cst does everything acquire/release do, and more. This is supposedly the slowest order, but also the safest.
seq_cst reads count as acquire operations. seq_cst writes count as release operations. seq_cst read-modify-write operations count as both.
seq_cst operations can synchronize with each other, and with acquire/release operations. Beware of special effects of mixing them (see below).
seq_cst is the default order, e.g. given atomic_int x;, x = 1; does x.store(1, seq_cst);.
seq_cst has an extra property compared to acquire/release: all threads agree on the order in which all seq_cst operations happen. This is unlike weaker orders, where threads agree only on the order of operations on each individual atomic variable, but not on how the operations are interleaved - see relaxed order above.
The presence of this global operation order seems to only affect which values you can get from seq_cst loads, it doesn't in any way affect non-atomic variables and atomic operations with weaker orders (unless seq_cst fences are involved, see below), and by itself doesn't prevent any extra data race UB compared to acq/rel operations.
Among other things, this order respects the synchronizes with relationship described for acquire/release above, unless (and this is weird) that synchronization comes from mixing a seq-cst operation with an acquire/release operation (release syncing with seq-cst, or seq-cst synching with acquire). Such mix essentially demotes the affected seq-cst operation to an acquire/release (it maybe retains some of the seq-cst properties, but you better not count on it).
Example use:
atomic_bool x = true;
atomic_bool y = true;
// Thread 1:
x.store(false, seq_cst);
if (y.load(seq_cst)) {...}
// Thread 2:
y.store(false, seq_cst);
if (x.load(seq_cst)) {...}
Lets say you want only one thread to be able to enter the if body. seq_cst allows you to do it. Acquire/release or weaker orders wouldn't be enough here.
Fences: atomic_thread_fence(seq_cst); does everything an acq_rel fence does, and more.
Like you would expect, they bring some seq-cst properties to atomic operations done with weaker orders.
All threads agree on the order of seq_cst fences, relative to one another and to any seq_cst operations (i.e. seq_cst fences participate in the global order of seq_cst operations, which was described above).
They essentially prevent atomic operations from being reordered across themselves.
E.g. we can transform the above example to:
atomic_bool x = true;
atomic_bool y = true;
// Thread 1:
x.store(false, relaxed);
atomic_thread_fence(seq_cst);
if (y.load(relaxed)) {...}
// Thread 2:
y.store(false, relaxed);
atomic_thread_fence(seq_cst);
if (x.load(relaxed)) {...}
Both threads can't enter if at the same time, because that would require reordering a load across the fence to be before the store.
But formally, the standard doesn't describe them in terms of reordering. Instead, it just explains how the seq_cst fences are placed in the global order of seq_cst operations. Let's say:
Thread 1 performs operation A on atomic variable X using using seq_cst order, OR a weaker order preceeded by a seq_cst fence.
Then:
Thread 2 performs operation B the same atomic variable X using seq_cst order, OR a weaker order followed by a seq_cst fence.
(Here A and B are any operations, except they can't both be reads, since then it's impossible to determine which one was first.)
Then the first seq_cst operation/fence is ordered before the second seq_cst operation/fence.
Then, if you imagine an scenario (e.g. in the example above, both threads entering the if) that imposes a contradicting requirements on the order, then this scenario is impossible.
E.g. in the example above, if the first thread enters the if, then the first fence must be ordered before the second one. And vice versa. This means that both threads entering the if would lead to a contradition, and hence not allowed.
Interoperation between different orders
Summarizing the above:
relaxed write
release write
seq-cst write
relaxed load
-
-
-
acquire load
-
synchronizes with
synchronizes with*
seq-cst load
-
synchronizes with*
synchronizes with
* = The participating seq-cst operation gets a messed up seq-cst order, effectively being demoted to an acquire/release operation. This is explained above.
Does using a stronger memory order makes data transfer between threads faster?
No, it seems not.
Sequental consistency for data-race-free programs
The standard explains that if your program only uses seq_cst accesses (and mutexes), and has no data races (which cause UB), then you don't need to think about all the fancy operation reorderings. The program will behave as if only one thread executed at a time, with the threads being unpredictably interleaved.

Related

relaxed ordering and inter thread visibility

I learnt from relaxed ordering as a signal that a store on an atomic variable should be visible to other thread in a "within a reasonnable amount of time".
That say, I am pretty sure it should happen in a very short time (some nano second ?).
However, I don't want to rely on "within a reasonnable amount of time".
So, here is some code :
std::atomic_bool canBegin{false};
void functionThatWillBeLaunchedInThreadA() {
if(canBegin.load(std::memory_order_relaxed))
produceData();
}
void functionThatWillBeLaunchedInThreadB() {
canBegin.store(true, std::memory_order_relaxed);
}
Thread A and B are within a kind of ThreadPool, so there is no creation of thread or whatsoever in this problem.
I don't need to protect any data, so acquire / consume / release ordering on atomic store/load are not needed here (I think?).
We know for sure that the functionThatWillBeLaunchedInThreadAfunction will be launched AFTER the end of the functionThatWillBeLaunchedInThreadB.
However, in such a code, we don't have any guarantee that the store will be visible in the thread A, so the thread A can read a stale value (false).
Here are some solution I think about.
Solution 1 : Use volatility
Just declare volatile std::atomic_bool canBegin{false}; Here the volatileness guarantee us that we will not see stale value.
Solution 2 : Use mutex or spinlock
Here the idea is to protect the canBegin access via a mutex / spinlock that guarantee via a release/acquire ordering that we will not see a stale value.
I don't need canGo to be an atomic either.
Solution 3 : not sure at all, but memory fence?
Maybe this code will not work, so, tell me :).
bool canGo{false}; // not an atomic value now
// in thread A
std::atomic_thread_fence(std::memory_order_acquire);
if(canGo) produceData();
// in thread B
canGo = true;
std::atomic_thread_fence(std::memory_order_release);
On cpp reference, for this case, it is write that :
all non-atomic and relaxed atomic stores that are sequenced-before FB
in thread B will happen-before all non-atomic and relaxed atomic loads
from the same locations made in thread A after FA
Which solution would you use and why?
There's nothing you can do to make a store visible to other threads any sooner. See If I don't use fences, how long could it take a core to see another core's writes? - barriers don't speed up visibility to other cores, they just make this core wait until that's happened.
The store part of an RMW is not different from a pure store for this, either.
(Certainly on x86; not totally sure about other ISAs, where a relaxed LL/SC might possibly get special treatment from the store buffer, possibly being more likely to commit before other stores if this core can get exclusive ownership of the cache line. But I think it still would have to retire from out-of-order execution so the core knows it's not speculative.)
Anthony's answer that was linked in comment is misleading; as I commented there:
If the RMW runs before the other thread's store commits to cache, it doesn't see the value, just like if it was a pure load. Does that mean "stale"? No, it just means that the store hasn't happened yet.
The only reason RMWs need a guarantee about "latest" value is that they're inherently serializing operations on that memory location. This is what you need if you want 100 unsynchronized fetch_add operations to not step on each other and be equivalent to += 100, but otherwise best-effort / latest-available value is fine, and that's what you get from a normal atomic load.
If you require instant visibility of results (a nanosecond or so), that's only possible within a single thread, like x = y; x += z;
Also note, the C / C++ standard requirement (actually just a note) to make stores visible in a reasonable amount of time is in addition to the requirements on ordering of operations. It doesn't mean seq_cst store visibility can be delayed until after later loads. All seq_cst operations happen in some interleaving of program order across all threads.
On real-world C++ implementations, the visibility time is entirely up to hardware inter-core latency. But the C++ standard is abstract, and could in theory be implemented on a CPU that required manual flushing to make stores visible to other threads. Then it would be up to the compiler to not be lazy and defer that for "too long".
volatile atomic<T> is useless; compilers already don't optimize atomic<T>, so every atomic access done by the abstract machine will already happen in the asm. (Why don't compilers merge redundant std::atomic writes?). That's all that volatile does, so volatile atomic<T> compiles to the same asm as atomic<T> for anything you can with the atomic.
Defining "stale" is a problem because separate threads running on separate cores can't see each other's actions instantly. It takes tens of nanoseconds on modern hardware to see a store from another thread.
But you can't read "stale" values from cache; that's impossible because real CPUs have coherent caches. (That's why volatile int could be used to roll your own atomics before C++11, but is no longer useful.) You may need an ordering stronger than relaxed to get the semantics you want as far as one value being older than another (i.e. "reordering", not "stale"). But for a single value, if you don't see a store, that means your load executed before the other core took exclusive ownership of the cache line in order to commit its store. i.e. that the store hasn't truly happened yet.
In the formal ISO C++ rules, there are guarantees about what value you're allowed to see which effectively give you the guarantees you'd expect from cache coherency for a single object, like that after a reader sees a store, further loads in this thread won't see some older store and then eventually back to the newest store. (https://eel.is/c++draft/intro.multithread#intro.races-19).
(Note for 2 writers + 2 readers with non-seq_cst operations, it's possible for the readers to disagree about the order in which the stores happened. This is called IRIW reordering, but most hardware can't do it; only some PowerPC. Will two atomic writes to different locations in different threads always be seen in the same order by other threads? - so it's not always quite as simple as "the store hasn't happened yet", it be visible to some threads before others. But it's still true that you can't speed up visibility, only for example slow down the readers so none of them see it via the "early" mechanism, i.e. with hwsync for the PowerPC loads to drain the store buffer first.)
We know for sure that the functionThatWillBeLaunchedInThreadAfunction
will be launched AFTER the end of the
functionThatWillBeLaunchedInThreadB.
First of all, if this is the case then it's likely that your task queue mechanism takes care of the necessary synchronization already.
On to the answer...
By far the simplest thing to do is acquire/release ordering. All the solutions you gave are worse.
std::atomic_bool canBegin{false};
void functionThatWillBeLaunchedInThreadA() {
if(canBegin.load(std::memory_order_acquire))
produceData();
}
void functionThatWillBeLaunchedInThreadB() {
canBegin.store(true, std::memory_order_release);
}
By the way, shouldn't this be a while loop?
void functionThatWillBeLaunchedInThreadA() {
while (!canBegin.load(std::memory_order_acquire))
{ }
produceData();
}
I don't need to protect any data, so acquire / consume / release
ordering on atomic store/load are not needed here (I think?)
In this case, the ordering is required to keep the compiler/CPU/memory subsystem from ordering the canBegin store true before the previous reads/writes have completed. And it should actually stall the CPU until it can be guaranteed that every write that comes before in program order will propagate before the store to canBegin. On the load side it prevents memory from being read/written before canBegin is read as true.
However, in such a code, we don't have any guarantee that the store
will be visible in the thread A, so the thread A can read a stale
value (false).
You said yourself:
a store on an atomic variable should be visible to other thread in a
"within a reasonnable amount of time".
Even with relaxed memory order, a write is guaranteed to eventually reach the other cores and all cores will eventually agree on any given variable's store history, so there are no stale values. There are only values that haven't propagated yet. What's "relaxed" about it is the store order in relation to other variables. Thus, memory_order_relaxed solves the stale read problem (but doesn't address the ordering required as discussed above).
Don't use volatile. It doesn't provide all the guarantees required of atomics in the C++ memory model, so using it would be undefined behavior. See https://en.cppreference.com/w/cpp/atomic/memory_order#Relaxed_ordering at the bottom to read about it.
You could use a mutex or spinlock, but a mutex operation is much more expensive than a lock-free std::atomic acquire-load/release-store. A spinlock will do at least one atomic read-modify-write operation...and possibly many. A mutex is definitely overkill. But both have the benefit of simplicity in the C++ source. Most people know how to use locks so it's easier to demonstrate correctness.
A memory fence will also work but your fences are in the wrong spot (it's counter-intuitive) and the inter-thread communication variable should be std::atomic. (Careful when playing these games...! It's easy to get undefined behavior) Relaxed ordering is ok thanks to the fences.
std::atomic<bool> canGo{false}; // MUST be atomic
// in thread A
if(canGo.load(std::memory_order_relaxed))
{
std::atomic_thread_fence(std::memory_order_acquire);
produceData();
}
// in thread B
std::atomic_thread_fence(std::memory_order_release);
canGo.store(true, memory_order_relaxed);
The memory fences are actually more strict than acquire/release ordering on the std::atomicload/store so this gains nothing and could be more expensive.
It seems like you really want to avoid overhead with your signaling mechanism. This is exactly what the std::atomic acquire/release semantics were invented for! You are worrying too much about stale values. Yes, an atomic RMW will give you the "latest" value, but they're also very expensive operations themselves. I want to give you an idea of how fast acquire/release is. It's most likely that you're targeting x86. x86 has total store order and word-sized loads/stores are atomic, so an load acquire compiles to just a regular load and and a release store compiles to a regular store. So it turns out that almost everything in this long post will probably compile to exactly the same code anyway.

Atomic operation propagation/visibility (atomic load vs atomic RMW load)

Context 
I am writing a thread-safe protothread/coroutine library in C++, and I am using atomics to make task switching lock-free. I want it to be as performant as possible. I have a general understanding of atomics and lock-free programming, but I do not have enough expertise to optimise my code. I did a lot of researching, but it was hard to find answers to my specific problem: What is the propagation delay/visiblity for different atomic operations under different memory orders?
Current assumptions 
I read that changes to memory are propagated from other threads, in such a way that they might become visible:
in different orders to different observers,
with some delay.
I am unsure as to whether this delayed visibility and inconsistent propagation applies only to non-atomic reads, or to atomic reads as well, potentially depending on what memory order is used. As I am developing on an x86 machine, I have no way of testing the behaviour on weakly ordered systems.
Do all atomic reads always read the latest values, regardless of the type of operation and the memory order used? 
I am pretty sure that all read-modify-write (RMW) operations always read the most recent value written by any thread, regardless of the memory order used. The same seems to be true for sequentially consistent operations, but only if all other modifications to a variable are also sequentially consistent. Both are said to be slow, which is not good for my task. If not all atomic reads get the most recent value, then I will have to use RMW operations just for reading an atomic variable's latest value, or use atomic reads in a while loop, to my current understanding.
Does the propagation of writes (ignoring side effects) depend on the memory order and the atomic operation used? 
(This question only matters if the answer to the previous question is that not all atomic reads always read the most recent value. Please read carefully, I do not ask about the visibility and propagation of side-effects here. I am merely concerned with the value of the atomic variable itself.) This would imply that depending on what operation is used to modify an atomic variable, it would be guaranteed that any following atomic read receives the most recent value of the variable. So I would have to choose between an operation guaranteed to always read the latest value, or use relaxed atomic reads, in tandem with this special write operation that guarantees instant visibility of the modification to other atomic operations.
Is atomic lock-free ?
First of all, let's get rid of the elephant in the room: using atomic in your code doesn't guarantee a lock-free implementation. atomic is only an enabler for a lock-free implementation. is_lock_free() will tell you if it's really lock-free for the C++ implementation and the underlying types that you are using.
What's the latest value ?
The term "latest" is very ambiguous in the world of multithreading. Because what is the "latest" for one thread that might be put asleep by the OS, might no longer be what is the latest for another thread that is active.
std::atomic only guarantees is a protection against racing conditions, by ensuring that R, M and RMW performed on one atomic in one thread are performed atomically, without any interruption, and that all other threads see either the value before or the value after, but never what's in-between. So atomic synchronize threads by creating an order between concurrent operations on the same atomic object.
You need to see every thread as a parallel universe with its own time and that is unaware of the time in the parallel universes. And like in quantum physics, the only thing that you can know in one thread about another thread is what you can observe (i.e. a "happened before" relation between the universes).
This means that you should not conceive multithreaded time as if there would be an absolute "latest" across all the threads. You need to conceive time as relative to the other threads. This is why atomics don't create an absolute latest, but only ensure a sequential ordering of the successive states that an atomic will have.
Propagation
The propagation doesn't depend on the memory order nor the atomic operation performed. memory_order is about sequential constraints on non-atomic variables around atomic operations that are seen like fences. The best explanation of how this works is certainly Herb Sutters presentation, that is definitively worth its hour and half if you're working on multithreading optimisation.
Although it is possible that a particular C++ implementation could implement some atomic operation in a way that influences propagation, you cannot rely on any such observation that you would do, since there would be no guarantee that propagation works in the same fashion in the next release of the compiler or on another compiler on another CPU architecture.
But does propagation matter ?
When designing lock-free algorithms, it is tempting to read atomic variables to get the latest status. But whereas such a read-only access is atomic, the action immediately after is not. So the following instructions might assume a state which is already obsolete (for example because the thread is send asleep immediately after the atomic read).
Take if(my_atomic_variable<10) and suppose that you read 9. Suppose you're in the best possible world and 9 would be the absolutely latest value set by all the concurrent threads. Comparing its value with <10 is not atomic, so that when the comparison succeeds and if branches, my_atomic_variable might already have a new value of 10. And this kind of problems might occur regardless of how fast the propagation is, and even if the read would be guaranteed to always get the latest value. And I didn't even mention the ABA problem yet.
The only benefit of the read is to avoid a data race and UB. But if you want to synchronize decisions/actions across threads, you need to use an RMW, such compare-and-swap (e.g. atomic_compare_exchange_strong) so that the ordering of atomic operations result in a predictable outcome.
After some discussion, here are my findings: First, let's define what an atomic variable's latest value means: In wall-clock time, the very latest write to an atomic variable, so, from an external observer's point of view. If there are multiple simultaneous last writes (i.e., on multiple cores during the same cycle), then it doesn't really matter which one of them is chosen.
Atomic loads of any memory order have no guarantee that the latest value is read. This means that writes have to propagate before you can access them. This propagation may be out of order with respect to the order in which they were executed, as well as differing in order with respect to different observers.
std::atomic_int counter = 0;
void thread()
{
// Imagine no race between read and write.
int value = counter.load(std::memory_order_relaxed);
counter.store(value+1, std::memory_order_relaxed);
}
for(int i = 0; i < 1000; i++)
std::async(thread);
In this example, according to my understanding of the specs, even if no read-write executions were to interfere, there could still be multiple executions of thread that read the same values, so that in the end, counter would not be 1000. This is because when using normal reads, although threads are guaranteed to read modifications to the same variable in the correct order (they will not read a new value and on the next value read an older value), they are not guaranteed to read the globally latest written value to a variable.
This creates the relativity effect (as in Einstein's physics) that every thread has its own "truth", and this is exactly why we need to use sequential consistency (or acquire/release) to restore causality: If we simply use relaxed loads, then we can even have broken causality and apparent time loops, which can happen because of instruction reordering in combination with out-of-order propagation. Memory ordering will ensure that those separate realities perceived by separate threads are at least causally consistent.
Atomic read-modify-write (RMW) operations (such as exchange, compare_exchange, fetch_add,…) are guaranteed to operate on the latest value as defined above. This means that propagation of writes is forced, and results in one universal view on the memory (if all reads you make are from atomic variables using RMW operations), independent of threads. So, if you use atomic.compare_exchange_strong(value,value, std::memory_order_relaxed) or atomic.fetch_or(0, std::memory_order_relaxed), then you are guaranteed to perceive one global order of modification that encompasses all atomic variables. Note that this does not guarantee you any ordering or causality of non-RMW reads.
std::atomic_int counter = 0;
void thread()
{
// Imagine no race between read and write.
int value = counter.fetch_or(0, std::memory_order_relaxed);
counter.store(value+1, std::memory_order_relaxed);
}
for(int i = 0; i < 1000; i++)
std::async(thread);
In this example (again, under the assumption that none of the thread() executions interfere with each other), it seems to me that the spec forbids value to contain anything but the globally latest written value. So, counter would always be 1000 in the end.
Now, when to use which kind of read? 
If you only need causality within each thread (there might still be different views on what happened in which order, but at least every single reader has a causally consistent view on the world), then atomic loads and acquire/release or sequential consistency suffice.
But if you also need fresh reads (so that you must never read values other than the globally (across all threads) latest value), then you should use RMW operations for reading. Those alone do not create causality for non-atomic and non-RMW reads, but all RMW reads across all threads share the exact same view on the world, which is always up to date.
So, to conclude: Use atomic loads if different world views are allowed, but if you need an objective reality, use RMWs to load.
Multithreading is surprising area.
First, an atomic read is not ordered after a write. I e reading a value does not mean that it were written before. Sometimes such read may ever see (indirect, by other thread) result of some subsequent atomic write by the same thread.
Sequential consistency are clearly about visibility and propagation. When a thread writes an atomic "sequentially consistent" it makes all its previous writes to be visible to other threads (propagation). In such case a (sequentially consistent) read is ordered in relation to a write.
Generally the most performant operations are "relaxed" atomic operations, but they provide minimum guarranties on ordering. In principle there is ever some causality paradoxes... :-)

Is atomic_thread_fence(memory_order_release) different from using memory_order_acq_rel?

cppreference.com provides this note about std::atomic_thread_fence (emphasis mine):
atomic_thread_fence imposes stronger synchronization constraints than an atomic store operation with the same std::memory_order.
While an atomic store-release operation prevents all preceding writes from moving past the store-release, an atomic_thread_fence with memory_order_release ordering prevents all preceding writes from moving past all subsequent stores.
I understand this note to mean that std::atomic_thread_fence(std::memory_order_release) is not unidirectional, like a store-release. It's a bidirectional fence, preventing stores on either side of the fence from reordering past a store on the other side of the fence.
If I understand that correctly, this fence seems to make the same guarantees that atomic_thread_fence(memory_order_acq_rel) does. It is an "upward" fence, and a "downward" fence.
Is there a functional difference between std::atomic_thread_fence(std::memory_order_release) and std::atomic_thread_fence(std::memory_order_acq_rel)? Or is the difference merely aesthetic, to document the purpose of the code?
A standalone fence imposes stronger ordering than an atomic operation with the same ordering constraint, but this does not change the direction in which ordering is enforced.
Bot an atomic release operation and a standalone release fence are uni-directional,
but the atomic operation orders with respect to itself whereas the atomic fence imposes ordering with respect to other stores.
For example, an atomic operation with release semantics:
std::atomic<int> sync{0};
// memory operations A
sync.store(1, std::memory_order_release);
// store B
This guarantees that no memory operation part of A (loads & stores) can be (visibly) reordered with the atomic store itself.
But it is uni-directional and no ordering rules apply to memory operations that are sequenced after the atomic operation; therefore, store B can still be reordered with any of the memory operations in A.
A standalone release fence changes this behavior:
// memory operations A
std::atomic_thread_fence(std::memory_order_release);
// load X
sync.store(1, std::memory_order_relaxed);
// stores B
This guarantees that no memory operation in A can be (visibly) reordered with any of the stores that are sequenced after the release fence.
Here, the store to B can no longer be reordered with any of the memory operations in A, and as such, the release fence is stronger than the atomic release operation.
But it also uni-directional since the load from X can still be reordered with any memory operation in A.
The difference is subtle and usually an atomic release operation is preferred over a standalone release fence.
The rules for a standalone acquire fence are similar, except that it enforces ordering in the opposite direction and operates on loads:
// loads B
sync.load(std::memory_order_relaxed);
std::atomic_thread_fence(std::memory_order_acquire);
// memory operations A
No memory operation in A can be reordered with any load that is sequenced before the standalone acquire fence.
A standalone fence with std::memory_order_acq_rel ordering combines the logic for both acquire and release fences.
// memory operations A
// load A
std::atomic_thread_fence(std::memory_order_acq_rel);
// store B
//memory operations B
But this can get incredibly tricky once you realize that a store in A can still be reordered with a load in B.
Acq/rel fences should probably be avoided in favor of regular atomic operations, or even better, mutexes.
cppreference.com made some mistakes in the paragraph you quoted. I have highlighted them in the following:
atomic_thread_fence imposes stronger synchronization constraints than an atomic store operation with the same std::memory_order. While an atomic store-release operation prevents all preceding writes(should be memory operations, i.e. including reads and writes) from moving past the store-release (the complete sentence should be: the store-release operation itself), an atomic_thread_fence with memory_order_release ordering prevents all preceding writes(should be memory operations, i.e. including reads and writes) from moving past all subsequent stores.
To paraphrase it:
The release operation actually places fewer memory ordering constraints on neighboring operations than the release fence. A release operation only needs to prevent preceding memory operations from being reordered past itself, but a release fence must prevent preceding memory operations from being reordered past all subsequent writes. Because of this difference, a release operation can never take the place of a release fence.
This is quoted from here.
This is my interpretation of the intent of the following text, which I think is what was intended. Also, that interpretation is correct in term of the memory model, but still bad as it's an incomplete explanation.
While an atomic store-release operation prevents all preceding writes
from moving past the store-release, an atomic_thread_fence with
memory_order_release ordering prevents all preceding writes from
moving past all subsequent stores.
The use of "store" vs. "writes" is intentional:
"store", here, means a store on an std::atomic<> object (not just a call to std::atomic<>::store, also assignment which is equivalent to .store(value) or a RMW atomic operation);
"write", here, means any memory write, either normal (non atomic) or atomic.
It's a bidirectional fence, preventing stores on either side of the
fence from reordering past a store on the other side of the fence.
No, you missed an essential distinction, because it was only implied; expressed in an unclear, too subtle way - not good for a teaching text!
It says that a release fence is not symmetric: previous memory side effect, called "writes", are bound by following atomic store operations.
Even with that clarification, it's incomplete and so it's a bad explanation: it strongly suggests that the release fences exist just to make sure that writes (and writes only) are finished. That is not the case.
A release operation is what I call a: "I'm done there" signal. It signals that all previous memory operations are done, finished, visible. It's important to understand that not only modifications (which can be detected by looking at memory state) are ordered, everything on memory needs to be.
Many writes-up about thread primitives are defective in that way.

atomic<T>.load() with std::memory_order_release

When writing C++11 code that uses the newly introduced thread-synchronization primitives to make use of the relaxed memory ordering, you usually see either
std::atomic<int> vv;
int i = vv.load(std::memory_order_acquire);
or
vv.store(42, std::memory_order_release);
It is clear to me why this makes sense.
My questions are: Do the combinations vv.store(42, std::memory_order_acquire) and vv.load(std::memory_order_release) also make sense? In which situation could one use them? What are the semantics of these combinations?
That's simply not allowed. The C++ (11) standard has requirements on what memory order constraints you can put on load/store operations.
For load (§29.6.5):
Requires: The order argument shall not be memory_order_release nor memory_order_acq_rel.
For store:
Requires: The order argument shall not be memory_order_consume, memory_order_acquire, nor memory_order_acq_rel.
The C/C++/LLVM memory model is sufficient for synchronization
strategies that ensure data is ready to be accessed before accessing
it. While that covers most common synchronization primitives, useful
properties can be obtained by building consistent models on weaker
guarantees.
The biggest example is the seqlock.
It relies on "speculatively" reading data that may not be in a
consistent state. Because reads are allowed to race with writes,
readers don't block writers -- a property which is used in the Linux
kernel to allow the system clock to be updated even if a user process
is repeatedly reading it. Another strength of the seqlock is that on
modern SMP arches it scales perfectly with the number of readers:
because the readers don't need to take any locks, they only need
shared access to the cache lines.
The ideal implementation of a seqlock would use something like a
"release load" in the reader, which is not available in any major
programming language. The kernel works around this with a full read
fence,
which scales well across architectures, but doesn't achieve optimal
performance.
These combinations do not make any sense, and they are not allowed either.
An acquire operation synchronizes previous non-atomic writes or side effects with a release operation so that when the acquire (load) is realized, all other stores (effects) that happened before the release (store) are also visible (for threads that acquire the same atomic that was released).
Now, if you could do (and would do) an acquire store and a release load, what should it do? What store should the acquire operation synchronize with? Itself?
Do the combinations vv.store(42, std::memory_order_acquire) and
vv.load(std::memory_order_release) also make sense?
Technically, they are formally disallowed but it isn't important to know that, except to write C++ code.
They simply cannot be defined in the model and it's important that you know and understand, even if you don't write code.
Note that disallowing these values is an important design choice: if you write your_own::atomic<> class, you can chose to allow these values and define them as equivalent to relaxed operations.
It's important to understand the design space; you must not have too much respect for the all C++ thread primitive design choices, some of which are purely arbitrary.
In which situation could one use them? What are the semantics of
these combinations?
None, as you must understand the fundamental notion that a read is not a write (it took me a while to get it). You can only claim to understand non linear execution when you get that idea.
In a non threaded program that doesn't have async signals, all steps are sequential and it doesn't matter that reads aren't writes: all reads of an object could just rewrite the value if you arrange for sequence points to be respected and if you allow writing to a constant its own value (which is OK in practice as long as memory is R/W).
So the distinction between reads and writes, at such level, isn't that important. You could manage to define a semantic based only operations that are both reads and writes of a memory location such that writing to a constant is allowed and reading an invalid value that isn't used is OK.
I don't recommend it of course, as it's pretty ugly to blurry the distinction between reads and writes.
But for multithreading you really don't want to have writes to data you only read: no only it would create data races (which you could arbitrary declare to be unimportant when the old value is written back), it would also not map to the CPU worldview as a write changes the state of the cache line of a shared object. The fact that a read isn't a write is essential for efficiency in multithread programs, much more than for single threaded ones.
At the abstract level, a store operation on an atomic is a modification so it's part of its modification order, and a load is not: a load only points to a position in the modification order (a load can see an atomically stored value, or the initial value, the value established at construction, before all atomic modifications).
Modifications are ordered with each others and loads are not, only with respect to modifications. (You can view loads as happening at exactly the same time.)
Acquire and release operations are about making an history (a past) and communicating it: a release operation on an object makes your past the past of the atomic object and the acquire operation makes that past your past.
A modification that isn't an atomic RMW cannot see previous value; on the other hand, an algorithm that includes a load and then a store (on one or two atomics) sees some previous value but isn't in general guaranteed to see the value left by the modification just before it in the modification order, so an acquire load X followed by a release store Y transitively releases the history and makes a past (of another thread at some point by another release operation that was seen by X) part of the past associated with the atomic variable by Y (in addition to the rest of our past).
A RMW is semantically different from acquire then release because there is never "space" in the history between the release and the acquire. It means that programs using only acq+rel RMW operations are always sequentially consistent, as they get the full past of all threads they interact with.
So if you want a acq+rel load or store, just do a RMW read or RMW write operation:
acq+rel load is RMW writing back the same value
acq+rel store is RMW dismissing the original value
You can write you own (strong) atomic class that does that for (strong) loads and (strong) stores: it would be logically defined as your class would make all operations, even loads, part of the operation history of the (strong) atomic object. So a (strong) load could be observed by a (strong) store, as they are both (atomic) modifications and reads of the underlying normal atomic object.
Note the set of acq_rel operations on such "strong atomic" objects would have strictly stronger guarantees than the intended guarantees of the set of seq_cst operations on normal atomics, for programs using relaxed atomic operations: the intent of the designers of seq_cst is that using seq_cst do not make programs using mixed atomic operations sequentially consistent in general.

Memory model ordering and visibility?

I tried looking for details on this, I even read the standard on mutexes and atomics... but still I couldnt understand the C++11 memory model visibility guarantees.
From what I understand the very important feature of mutex BESIDE mutual exclusion is ensuring visibility. Aka it is not enough that only one thread per time is increasing the counter, it is important that the thread increases the counter that was stored by the thread that was last using the mutex(I really dont know why people dont mention this more when discussing mutexes, maybe I had bad teachers :)).
So from what I can tell atomic doesnt enforce immediate visibility:
(from the person that maintains boost::thread and has implemented c++11 thread and mutex library):
A fence with memory_order_seq_cst does not enforce immediate
visibility to other threads (and neither does an MFENCE instruction).
The C++0x memory ordering constraints are just that --- ordering
constraints. memory_order_seq_cst operations form a total order, but
there are no restrictions on what that order is, except that it must
be agreed on by all threads, and it must not violate other ordering
constraints. In particular, threads may continue to see "stale" values
for some time, provided they see values in an order consistent with
the constraints.
And I'm OK with that. But the problem is that I have trouble understanding what C++11 constructs regarding atomic are "global" and which only ensure consistency on atomic variables.
In particular I have understanding which(if any) of the following memory orderings guarantee that there will be a memory fence before and after load and stores:
http://www.stdthread.co.uk/doc/headers/atomic/memory_order.html
From what I can tell std::memory_order_seq_cst inserts mem barrier while other only enforce ordering of the operations on certain memory location.
So can somebody clear this up, I presume a lot of people are gonna be making horrible bugs using std::atomic , esp if they dont use default (std::memory_order_seq_cst memory ordering)
2. if I'm right does that mean that second line is redundand in this code:
atomicVar.store(42);
std::atomic_thread_fence(std::memory_order_seq_cst);
3. do std::atomic_thread_fences have same requirements as mutexes in a sense that to ensure seq consistency on nonatomic vars one must do std::atomic_thread_fence(std::memory_order_seq_cst);
before load and
std::atomic_thread_fence(std::memory_order_seq_cst);
after stores?
4. Is
{
regularSum+=atomicVar.load();
regularVar1++;
regularVar2++;
}
//...
{
regularVar1++;
regularVar2++;
atomicVar.store(74656);
}
equivalent to
std::mutex mtx;
{
std::unique_lock<std::mutex> ul(mtx);
sum+=nowRegularVar;
regularVar++;
regularVar2++;
}
//..
{
std::unique_lock<std::mutex> ul(mtx);
regularVar1++;
regularVar2++;
nowRegularVar=(74656);
}
I think not, but I would like to be sure.
EDIT:
5.
Can assert fire?
Only two threads exist.
atomic<int*> p=nullptr;
first thread writes
{
nonatomic_p=(int*) malloc(16*1024*sizeof(int));
for(int i=0;i<16*1024;++i)
nonatomic_p[i]=42;
p=nonatomic;
}
second thread reads
{
while (p==nullptr)
{
}
assert(p[1234]==42);//1234-random idx in array
}
If you like to deal with fences, then a.load(memory_order_acquire) is equivalent to a.load(memory_order_relaxed) followed by atomic_thread_fence(memory_order_acquire). Similarly, a.store(x,memory_order_release) is equivalent to a call to atomic_thread_fence(memory_order_release) before a call to a.store(x,memory_order_relaxed). memory_order_consume is a special case of memory_order_acquire, for dependent data only. memory_order_seq_cst is special, and forms a total order across all memory_order_seq_cst operations. Mixed with the others it is the same as an acquire for a load, and a release for a store. memory_order_acq_rel is for read-modify-write operations, and is equivalent to an acquire on the read part and a release on the write part of the RMW.
The use of ordering constraints on atomic operations may or may not result in actual fence instructions, depending on the hardware architecture. In some cases the compiler will generate better code if you put the ordering constraint on the atomic operation rather than using a separate fence.
On x86, loads are always acquire, and stores are always release. memory_order_seq_cst requires stronger ordering with either an MFENCE instruction or a LOCK prefixed instruction (there is an implementation choice here as to whether to make the store have the stronger ordering or the load). Consequently, standalone acquire and release fences are no-ops, but atomic_thread_fence(memory_order_seq_cst) is not (again requiring an MFENCE or LOCKed instruction).
An important effect of the ordering constraints is that they order other operations.
std::atomic<bool> ready(false);
int i=0;
void thread_1()
{
i=42;
ready.store(true,memory_order_release);
}
void thread_2()
{
while(!ready.load(memory_order_acquire)) std::this_thread::yield();
assert(i==42);
}
thread_2 spins until it reads true from ready. Since the store to ready in thread_1 is a release, and the load is an acquire then the store synchronizes-with the load, and the store to i happens-before the load from i in the assert, and the assert will not fire.
2) The second line in
atomicVar.store(42);
std::atomic_thread_fence(std::memory_order_seq_cst);
is indeed potentially redundant, because the store to atomicVar uses memory_order_seq_cst by default. However, if there are other non-memory_order_seq_cst atomic operations on this thread then the fence may have consequences. For example, it would act as a release fence for a subsequent a.store(x,memory_order_relaxed).
3) Fences and atomic operations do not work like mutexes. You can use them to build mutexes, but they do not work like them. You do not have to ever use atomic_thread_fence(memory_order_seq_cst). There is no requirement that any atomic operations are memory_order_seq_cst, and ordering on non-atomic variables can be achieved without, as in the example above.
4) No these are not equivalent. Your snippet without the mutex lock is thus a data race and undefined behaviour.
5) No your assert cannot fire. With the default memory ordering of memory_order_seq_cst, the store and load from the atomic pointer p work like the store and load in my example above, and the stores to the array elements are guaranteed to happen-before the reads.
From what I can tell std::memory_order_seq_cst inserts mem barrier while other only enforce ordering of the operations on certain memory location.
It really depends on what you're doing, and on what platform you're working with. The strong memory ordering model on a platform like x86 will create a different set of requirements for the existence of memory fence operations compared to a weaker ordering model on platforms like IA64, PowerPC, ARM, etc. What the default parameter of std::memory_order_seq_cst is ensuring is that depending on the platform, the proper memory fence instructions will be used. On a platform like x86, there is no need for a full memory barrier unless you are doing a read-modify-write operation. Per the x86 memory model, all loads have load-acquire semantics, and all stores have store-release semantics. Thus, in these cases the std::memory_order_seq_cst enum basically creates a no-op since the memory model for x86 already ensures that those types of operations are consistent across threads, and therefore there are no assembly instructions that implement these types of partial memory barriers. Thus the same no-op condition would be true if you explicitly set a std::memory_order_release or std::memory_order_acquire setting on x86. Furthermore, requiring a full memory-barrier in these situations would be an unnecessary performance impediment. As noted, it would only be required for read-modify-store operations.
On other platforms with weaker memory consistency models though, that would not be the case, and therefore using std::memory_order_seq_cst would employ the proper memory fence operations without the user having to explicitly specify whether they would like a load-acquire, store-release, or full memory fence operation. These platforms have specific machine instructions for enforcing such memory consistency contracts, and the std::memory_order_seq_cst setting would work out the proper case. If the user would like to specifically call for one of these operations they can through the explicit std::memory_order enum types, but it would not be necessary ... the compiler would work out the correct settings.
I presume a lot of people are gonna be making horrible bugs using std::atomic , esp if they dont use default (std::memory_order_seq_cst memory ordering)
Yes, if they don't know what they're doing, and don't understand which types of memory barrier semantics that are called for in certain operations, then there will be a lot of mistakes made if they attempt to explicitly state the type of memory barrier and it's the incorrect one, especially on platforms that will not help their mis-understanding of memory ordering because they are weaker in nature.
Finally, keep in mind with your situation #4 concerning a mutex that there are two different things that need to happen here:
The compiler must not be allowed to reorder operations across the mutex and critical section (especially in the case of an optimizing compiler)
There must be the requisite memory fences created (depending on the platform) that maintain a state where all stores are completed before the critical section and reading of the mutex variable, and all stores are completed before exiting the critical section.
Since by default, atomic stores and loads are implemented with std::memory_order_seq_cst, then using atomics would also implement the proper mechanisms to satisfy conditions #1 and #2. That being said, in your first example with atomics, the load would enforce acquire-semantics for the block, while the store would enforce release semantics. It would not though enforce any particular ordering inside the "critical section" between these two operations though. In your second example, you have two different sections with locks, each lock having acquire semantics. Since at some point you would have to release the locks, which would have release semantics, then no, the two code blocks would not be equivalent. In the first example, you've created a big "critical section" between the load and store (assuming this is all happening on the same thread). In the second example you have two different critical sections.
P.S. I've found the following PDF particularly instructive, and you may find it too:
http://www.nwcpp.org/Downloads/2008/Memory_Fences.pdf