On this post we're going to talk about Eventual Consistency in the context of lock-free and wait-free data structures, with focus on the C++ memory model, although most (or all) of what we're going to cover also applies to other memory models likes the ones in D, Java , Rust, C11, <insert language here>.
If you're looking for an explanation on what Eventual Consistency is in the context of databases then this (may or) may not be what you're looking for!
Before we explain what is eventual consistency in C++, we need to explain a little of what shared memory is and a what is a memory model.
Computers do many things: arithmetic computations, decide different things based on logical expressions, sending and receiving packets, putting pixels on a screen, etc. For this post, we care about reading from main memory and writing to main memory. This means "loads" and "stores".
The whole C++ memory model is about what happens when you do loads and stores from different threads, and all the other stuff that the computer does is pretty much out of the picture.
Obviously, stores are used to store a value in a certain memory location, and loads are used to read a value from a given memory location:
x.store(value);
value = x.load();
Also, from the memory model's point of view, all loads are indistinguishable, and so are all stores. CPU vendors have peculiarities, like some stores may re-order but others not (think stores on the same cache line), but the memory model doesn't really care about that, so for this post, we won't care either.
Ok, so this was really important. If you're not convinced that everything is about loads and stores then you better go and read the memory model of your favorite language and then come back.
Let me say it once more: It's all about loads and stores.
Combinatorically, if we have two different operations (loads and stores) we can define ordering constraints based on four cases:
1. A load may not reorder with a subsequent load;
2. A store may not reorder with a subsequent store;
3. A load may not reorder with a subsequent store;
4. A store may not reorder with a subsequent load;
When none of the four constraints above are set, and if we want to share data among threads or processes (remember, our context is lock-free and wait-free data structures) then in C++ this is called memory_order_relaxed. In this memory ordering any loads can reorder with any stores. Whatever the order of the code you wrote, the compiler may decide to reorder the loads and stores in whatever way it thinks is the best.
This has reduced synchronization and gives a lot of leeway to the compiler, thus resulting in high performance code. The downside is that most lock-free and wait-free algorithms were designed with a specific order in mind, and when this order is not respected, the algorithm no longer works.
To enforce constraint 1, the first load has to be done with a memory_order_acquire or memory_order_seq_cst. In the C++ memory model, loads with memory_order_acquire can not be reordered with any subsequent load or store. Most of today's CPUs enforce this constraint by default already, which means that it needs no synchronization as well.
To enforce constraint 2, the second store has to be done with a memory_order_release or memory_order_seq_cst. In the C++ memory model, stores with a memory_order_release can not be reordered with any previous load or store. CPUs with Total-Store-Order (TSO) like x86, enforce this constraint by default already, which means it needs no explicit synchronization. In practice the CPU internally has synchronization to achieve this strong ordering, but that's out of scope.
To enforce constraint 3, the first load has to be done with memory_order_acquire or memory_order_seq_cst. x86 CPUs provide this guarantee without explicit synchronization (barriers/fences).
To enforce constraint 4, both the load and the store have to be memory_order_seq_cst. No practical CPU provides this by default (such a CPU would be too slow) and to have such a constraint requires costly synchronization, typically a full fence or at least a store-load fence.
Explaining why this requires such high synchronization would require an entire (large) post about this topic, so let's just accept it as it is.
To sum it up, if we want all four constraints, we have to use sequentially consistent memory ordering, while if we want only the first three constraints, then the acquire-release memory ordering is enough.
Notice that stores and loads are done at the word level, 64 bits let's say. Therefore, when we talk about sequential consistency we are talking about it at the word level. Any object bigger than one word and this guarantee disappears because it will take multiple stores (or multiple loads) to modify (or read) such an object.
So what about eventual consistency?
Roughly speaking, eventual consistency guarantees if no new updates (stores) are made to a data item (word), then eventually all accesses (loads) to that item (word) will return the last updated value.
In other words, if we stop doing stores in a certain variable, eventually, when we go and read it from another thread, we will see the last store that was made. Pop quiz: which memory ordering is the weakest that gives this guarantee?
Answer: It's memory_order_relaxed (memory_order_acq_rel and memory_order_seq_cst also provide this guarantee but at a greater cost).
You see, something I didn't say about memory_order_relaxed is that the end result must look like the code you wrote, which means that eventually it will have to keep whatever was the last store you wrote in your code. This is highly non-obvious from reading the specs, but that's how it works, otherwise it would let the compiler produce incorrect programs, even in single-threaded code.
Ok, so now that we know that in C++ memory_order_relaxed provides eventual consistency (at the word level), what can we do with that?
Well, the answer to that depends on how useful you think that eventual consistency is.
The term eventual consistency is meant as a consistency property of an item, or object in C++ parlance. If the object is the size of a word (64 bits or less) then just make it atomic<> and all stores and loads to/from it must be changed to use memory_order_relaxed.
If the object is larger than a word then things start to get more complicated because then we could have concurrent stores touching different words of the object and it would leave it in an inconsistent state. Example below:
struct myobject {
atomic<uint64_t> a {0}; // Consistency for this object implies that a is equal to b
atomic<uint64_t> b {0};
}
myobject obj;
Thread 1:
obj.a.store(1, memory_order_relaxed);
obj.b.store(1, memory_order_relaxed);
Thread 2:
obj.a.store(2, memory_order_relaxed); // May occur before a.store() in thread 1
obj.b.store(2, memory_order_relaxed); // May occur after b.store() in thread 1
Thread 3:
while (true) {
if (obj.a.load() == obj.b.load()) break; // This may loop forever
}
In the above example, we defined the object to be consistent when having a and b members equal. The stores with Thread 1 may interleave with the stores in Thread 2, causing the object to be left in a inconsistent state permanently, with a=1 and b=2, which is not eventually consistent because the stores on the object have stopped but thread 3 will be in an infinite loop waiting for the object to be consistent.
Even without going into the topic of whether or when is eventual consistency useful, we still have to care about a subtle but extremely important detail in the definition of eventual consistency: it refers to an object.
Let me say this again because it's important: Eventual Consistency requires you to define the item (or object) on where this consistency is being applied.
This means that what you define to be the object affects the consistency.
Saying that you provide eventual consistency in your application is completely irrelevant unless you define at which granularity level you're providing such a guarantee.
If you're providing eventual consistency at the word level, then it's easy to implement, just make all accesses memory_order_relaxed;
If it's eventual consistent at the C++ object level, then each object must itself be atomic<>, which means that the underlying implementation is using a mutual exclusion lock to protect it, thus denying any benefit from doing eventual consistency. You might has well say you're providing strong consistency because you are in fact providing linearizability (at the object level);
In the context of data structures, if we say that a data structure is eventually consistent, it still needs to be atomic itself and all its nodes/whatever constitutes it. This means that the data structure itself needs to be consistent, or atomic. This is extremely hard to achieve without going into a fully linearizable (or at least sequentially consistent) algorithm, so perhaps this is not very useful in practice.
However, if we have multiple data structure instances, even if each of them is linearizable, doing operations or two or more of these data structures is not trivial to make them appear atomic (unless we're protecting everything with a global lock, or using a transactional memory). In such case, we can simply say that we're providing eventual consistency at the data structure level, and it would be correct to say so, because in each data structure instance we provide atomicity (linearizable consistency) but across data structure instances we only guarantee that eventually the modifications will be seen over all the instances.
If you take anything away from this post it should be this:
Eventual Consistency only makes sense when we define what is the "object" where this consistency is being applied.
Monday, July 17, 2017
Monday, July 10, 2017
Left-Right and C-RW-WP with Flat Combining
Flat Combining is a cool technique that allows multiple threads to help each other.
http://dl.acm.org/citation.cfm?id=1810540
It was designed to be used with mutual exclusion locks but it has been used with other things,
such as Hardware Transactional Memory (see "Transactional Lock Elision Meets Combining" in PODC 2017).
We have used it to improve the throughput of C-RW-WP and Left-Right.
C-RW-WP can be seen here:
http://dl.acm.org/citation.cfm?id=2442532
and Left-Right here:
https://github.com/pramalhe/ConcurrencyFreaks/blob/master/papers/left-right-2014.pdf
Here is how it works for C-RW-WP:
- Writers publish their operation (a std::function) using a publishing mechanism, in our case it's just an array of atomic pointers to std::function. Each std::function typically stores a lambda on which we captured whatever parameters are needed to make things simpler;
- A writer spins until it gets the exclusive lock or until its entry in the publishing array goes to nullptr, thus meaning that some other writer has completed its operation and has placed the result in the corresponding entry on the array of results;
- If the writer gets the exclusive lock, then it is his responsibility to execute the other thread's operations that are in the publishing array, save the results in the results array, and set the pointer in the publishing array back to nullptr;
- Readers don't need to publish its operation in the publishing array, unless the lock is already in exclusive mode. In that case, they publish the operation and wait for the lock to be released, or for the entry in the publishing array to become nullptr;
Example code can be seen here:
https://github.com/pramalhe/ConcurrencyFreaks/blob/master/CPP/locks/CRWWPFlatCombining.hpp
There are a couple of minor tricks:
1st, the writer holding the lock will execute each operation at a time
https://github.com/pramalhe/ConcurrencyFreaks/blob/master/CPP/locks/CRWWPFlatCombining.hpp#L121
and only then will it set the entry to nullptr with a store release
https://github.com/pramalhe/ConcurrencyFreaks/blob/master/CPP/locks/CRWWPFlatCombining.hpp#L122
this way, another thread is guaranteed to see the result there if it sees its own entry at nullptr
https://github.com/pramalhe/ConcurrencyFreaks/blob/master/CPP/locks/CRWWPFlatCombining.hpp#L102
2nd, the writers don't have a starvation-free cohort lock, it's a simple spin-lock, but because the Flat Combining technique is starvation-free, the writers end up being starvation-free (among themselves), a very good property to have without having to make a more complex or strick-fairness lock, such as a ticket lock.
https://github.com/pramalhe/ConcurrencyFreaks/blob/master/CPP/locks/CRWWPFlatCombining.hpp#L100
3rd, the readers attempt to get the lock in shared mode first, and only if it is not available (a writer is already there) then they publish their operations
https://github.com/pramalhe/ConcurrencyFreaks/blob/master/CPP/locks/CRWWPFlatCombining.hpp#L100
A reader's operation is not mutative (by definition) but the result needs to be known, so it's up to the writer (who doesn't care if the operation is mutative or not) to apply the operation and place the result in the results array.
The consequence of this is that in low contention, C-RW-WP works as usual (which is blazingly fast), but when there is more contention and some threads are writers, then it goes on the "flat combining path" which is starvation-free.
This means that the end result is a technique that is fully starvation-free, i.e. readers don't starve writers, writers don't starve readers, readers don't starve other readers, and writers don't starve other writers.
I don't know about you, but I think it's pretty cool to take something that has a large propensity for starvation like C-RW-WP (writers starve readers and writers will starve other writers if the cohort is a spinlock), apply Flat Combining to it, and get something that is fully starvation-free, and on top of that has lower tail latency and higher throughput on most workloads :-O
So how about applying Flat Combining to Left-Right ?
This was so obvious that even back in 2012 Andreia was speaking of doing this (before we even read the Flat combining paper) but it was too simplistic and we wanted full wait-freedom so she dropped it. But now, here it comes again :)
https://github.com/pramalhe/ConcurrencyFreaks/blob/master/CPP/leftright/LeftRightFlatCombining.hpp
Adding Flat Combining to Left-Right is a bit trickier than adding Flat Combining to C-RW-WP, but not by much.
The first difference is that readers are wait-free in Left-Right, so there is no point for them to add their operations to the publishing array. Flat Combining is great but it provides at best starvation-free progress, while Left-Right provides wait-freedom for readers.
In Left-Right neither readers starve writers nor writers starve readers, so there isn't much of an advantage in progress of adding FC to Left-Right likes there was for C-RW-WP, but there is still the advantage of using a spin lock as the writersMutex and still providing starvation-freedom amongst writers, so we did that
https://github.com/pramalhe/ConcurrencyFreaks/blob/master/CPP/leftright/LeftRightFlatCombining.hpp#L124
The second difference is that we don't want the writer currently holding the writersMutex lock, to apply operations from other writers in one of the instances but not the other, because it would leave the instances in an inconsistent state. To solve this, we first copy the entire publishing array (it's just pointers) to a local (stack-allocated) array:
https://github.com/pramalhe/ConcurrencyFreaks/blob/master/CPP/leftright/LeftRightFlatCombining.hpp#L135
and only then do we start applying the mutations from the local array
https://github.com/pramalhe/ConcurrencyFreaks/blob/master/CPP/leftright/LeftRightFlatCombining.hpp#L143
After the toggle, we apply the same mutations on the opposite instances
https://github.com/pramalhe/ConcurrencyFreaks/blob/master/CPP/leftright/LeftRightFlatCombining.hpp#L153
and only then do we set the corresponding entries in the publishing array to nullptr
https://github.com/pramalhe/ConcurrencyFreaks/blob/master/CPP/leftright/LeftRightFlatCombining.hpp#L156
Just for fun, here are some plots.
Unfortunately I don't have the same plots with/without Flat Combining, but with FC is generally better:
![](data:image/png;base64,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)
For mutative only workloads (100% writes) using a global lock is better than Left-Right because on Left-Right we have to apply the same mutation twice (once on each instance). As soon as the number of readers increases, Left-Right takes the upper hand (regardless of using Flat Combining or not) and start to be better.
This kind of benchmark uses "mixed-ratio" threads and without over-subscription, so we don't really see the effects of starvation-freedom or wait-freedom, but it's good to know that Left-Right can be combined with Flat Combining and still come out ahead :)
http://dl.acm.org/citation.cfm?id=1810540
It was designed to be used with mutual exclusion locks but it has been used with other things,
such as Hardware Transactional Memory (see "Transactional Lock Elision Meets Combining" in PODC 2017).
We have used it to improve the throughput of C-RW-WP and Left-Right.
C-RW-WP can be seen here:
http://dl.acm.org/citation.cfm?id=2442532
and Left-Right here:
https://github.com/pramalhe/ConcurrencyFreaks/blob/master/papers/left-right-2014.pdf
Here is how it works for C-RW-WP:
- Writers publish their operation (a std::function) using a publishing mechanism, in our case it's just an array of atomic pointers to std::function. Each std::function typically stores a lambda on which we captured whatever parameters are needed to make things simpler;
- A writer spins until it gets the exclusive lock or until its entry in the publishing array goes to nullptr, thus meaning that some other writer has completed its operation and has placed the result in the corresponding entry on the array of results;
- If the writer gets the exclusive lock, then it is his responsibility to execute the other thread's operations that are in the publishing array, save the results in the results array, and set the pointer in the publishing array back to nullptr;
- Readers don't need to publish its operation in the publishing array, unless the lock is already in exclusive mode. In that case, they publish the operation and wait for the lock to be released, or for the entry in the publishing array to become nullptr;
Example code can be seen here:
https://github.com/pramalhe/ConcurrencyFreaks/blob/master/CPP/locks/CRWWPFlatCombining.hpp
There are a couple of minor tricks:
1st, the writer holding the lock will execute each operation at a time
https://github.com/pramalhe/ConcurrencyFreaks/blob/master/CPP/locks/CRWWPFlatCombining.hpp#L121
and only then will it set the entry to nullptr with a store release
https://github.com/pramalhe/ConcurrencyFreaks/blob/master/CPP/locks/CRWWPFlatCombining.hpp#L122
this way, another thread is guaranteed to see the result there if it sees its own entry at nullptr
https://github.com/pramalhe/ConcurrencyFreaks/blob/master/CPP/locks/CRWWPFlatCombining.hpp#L102
2nd, the writers don't have a starvation-free cohort lock, it's a simple spin-lock, but because the Flat Combining technique is starvation-free, the writers end up being starvation-free (among themselves), a very good property to have without having to make a more complex or strick-fairness lock, such as a ticket lock.
https://github.com/pramalhe/ConcurrencyFreaks/blob/master/CPP/locks/CRWWPFlatCombining.hpp#L100
3rd, the readers attempt to get the lock in shared mode first, and only if it is not available (a writer is already there) then they publish their operations
https://github.com/pramalhe/ConcurrencyFreaks/blob/master/CPP/locks/CRWWPFlatCombining.hpp#L100
A reader's operation is not mutative (by definition) but the result needs to be known, so it's up to the writer (who doesn't care if the operation is mutative or not) to apply the operation and place the result in the results array.
The consequence of this is that in low contention, C-RW-WP works as usual (which is blazingly fast), but when there is more contention and some threads are writers, then it goes on the "flat combining path" which is starvation-free.
This means that the end result is a technique that is fully starvation-free, i.e. readers don't starve writers, writers don't starve readers, readers don't starve other readers, and writers don't starve other writers.
I don't know about you, but I think it's pretty cool to take something that has a large propensity for starvation like C-RW-WP (writers starve readers and writers will starve other writers if the cohort is a spinlock), apply Flat Combining to it, and get something that is fully starvation-free, and on top of that has lower tail latency and higher throughput on most workloads :-O
So how about applying Flat Combining to Left-Right ?
This was so obvious that even back in 2012 Andreia was speaking of doing this (before we even read the Flat combining paper) but it was too simplistic and we wanted full wait-freedom so she dropped it. But now, here it comes again :)
https://github.com/pramalhe/ConcurrencyFreaks/blob/master/CPP/leftright/LeftRightFlatCombining.hpp
Adding Flat Combining to Left-Right is a bit trickier than adding Flat Combining to C-RW-WP, but not by much.
The first difference is that readers are wait-free in Left-Right, so there is no point for them to add their operations to the publishing array. Flat Combining is great but it provides at best starvation-free progress, while Left-Right provides wait-freedom for readers.
In Left-Right neither readers starve writers nor writers starve readers, so there isn't much of an advantage in progress of adding FC to Left-Right likes there was for C-RW-WP, but there is still the advantage of using a spin lock as the writersMutex and still providing starvation-freedom amongst writers, so we did that
https://github.com/pramalhe/ConcurrencyFreaks/blob/master/CPP/leftright/LeftRightFlatCombining.hpp#L124
The second difference is that we don't want the writer currently holding the writersMutex lock, to apply operations from other writers in one of the instances but not the other, because it would leave the instances in an inconsistent state. To solve this, we first copy the entire publishing array (it's just pointers) to a local (stack-allocated) array:
https://github.com/pramalhe/ConcurrencyFreaks/blob/master/CPP/leftright/LeftRightFlatCombining.hpp#L135
and only then do we start applying the mutations from the local array
https://github.com/pramalhe/ConcurrencyFreaks/blob/master/CPP/leftright/LeftRightFlatCombining.hpp#L143
After the toggle, we apply the same mutations on the opposite instances
https://github.com/pramalhe/ConcurrencyFreaks/blob/master/CPP/leftright/LeftRightFlatCombining.hpp#L153
and only then do we set the corresponding entries in the publishing array to nullptr
https://github.com/pramalhe/ConcurrencyFreaks/blob/master/CPP/leftright/LeftRightFlatCombining.hpp#L156
Just for fun, here are some plots.
Unfortunately I don't have the same plots with/without Flat Combining, but with FC is generally better:
For mutative only workloads (100% writes) using a global lock is better than Left-Right because on Left-Right we have to apply the same mutation twice (once on each instance). As soon as the number of readers increases, Left-Right takes the upper hand (regardless of using Flat Combining or not) and start to be better.
This kind of benchmark uses "mixed-ratio" threads and without over-subscription, so we don't really see the effects of starvation-freedom or wait-freedom, but it's good to know that Left-Right can be combined with Flat Combining and still come out ahead :)
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