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This explains the observed limitations of the current ring applied to traces and proposes a multi-step, more scalable, improvement.
313 lines
14 KiB
Plaintext
313 lines
14 KiB
Plaintext
2024-02-20 - Ring buffer v2
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===========================
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Goals:
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- improve the multi-thread performance of rings so that traces can be written
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from all threads in parallel without the huge bottleneck of the lock that
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is currently necessary to protect the buffer. This is important for mmapped
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areas that are left as a file when the process crashes.
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- keep traces synchronous within a given thread, i.e. when the TRACE() call
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returns, the trace is either written into the ring or lost due to slow
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readers.
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- try hard to limit the cache line bounces between threads due to the use of
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a shared work area.
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- make waiting threads not disturb working ones
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- continue to work on all supported platforms, with a particular focus on
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performance for modern platforms (memory ordering, DWCAS etc can be used if
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they provide any benefit), with a fallback for inferior platforms.
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- do not reorder traces within a given thread.
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- do not break existing features
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- do not significantly increase memory usage
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Analysis of the current situation
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=================================
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Currently, there is a read lock around the call to __sink_write() in order to
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make sure that an attempt to write the number of lost messages is delivered
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with highest priority and is consistent with the lost counter. This doesn't
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seem to pose any problem at this point though if it were, it could possibly
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be revisited.
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__sink_write() calls ring_write() which first measures the input string length
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from the multiple segments, and locks the ring:
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- while trying to free space
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- while copying the message, due to the buffer's API
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Because of this, there is a huge serialization and threads wait in queue. Tests
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involving a split of the lock and a release around the message copy have shown
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a +60% performance increase, which is still not acceptable.
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First proposed approach
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=======================
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The first approach would have consisted in writing messages in small parts:
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1) write 0xFF in the tag to mean "size not filled yet"
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2) write the message's length and write a zero tag after the message's
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location
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3) replace the first tag to 0xFE to indicate the size is known, but the
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message is not filled yet.
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4) memcpy() of the message to the area
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5) replace the first tag to 0 to mark the entry as valid.
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It's worth noting that doing that without any lock will allow a second thread
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looping on the first tag to jump to the second tag after step 3. But the cost
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is high: in a 64-thread scenario where each of them wants to send one message,
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the work would look like this:
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- 64 threads try to CAS the tag. One gets it, 63 fail. They loop on the byte
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in question in read-only mode, waiting for the byte to change. This loop
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constantly forces the cache line to switch from MODIFIED to SHARED in the
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writer thread, and makes it a pain for it to write the message's length
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just after it.
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- once the first writer thread finally manages to write the length (step 2),
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it writes 0xFE on the tag to release the waiting threads, and starts with
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step 4. At this point, 63 threads try a CAS on the same entry, and this
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hammering further complicates the memcpy() of step 4 for the first 63 bytes
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of the message (well, 32 on avg since the tag is not necessarily aligned).
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One thread wins, 62 fail. All read the size field and jump to the next tag,
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waiting in read loops there. The second thread starts to write its size and
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faces the same difficulty as described above, facing 62 competitors when
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writing its size and the beginning of its message.
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- when the first writer thread writes the end of its message, it gets close
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to the final tag where the 62 waiting threads are still reading, causing
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a slow down again with the loss of exclusivity on the cache line. This is
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the same for the second thread etc.
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Thus, on average, a writing thread is hindered by N-1 threads at the beginning
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of its message area (in the first 32 bytes on avg) and by N-2 threads at the
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end of its area (in the last 32 bytes on avg). Given that messages are roughly
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218 bytes on avg for HTTP/1, this means that roughly 1/3 of the message is
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written under severe cache contention.
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In addition to this, the buffer's tail needs to be updated once all threads are
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ready, something that adds the need for synchronization so that the last writing
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threads (the most likely to complete fast due to less perturbations) needs to
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wait for all previous ones. This also means N atomic writes to the tail.
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New proposal
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============
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In order to address the contention scenarios above, let's try to factor the
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work as much as possible. The principle is that threads that want to write will
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either do it themselves or declare their intent and wait for a writing thread
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to do it for them. This aims at ensuring a maximum usage of read-only data
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between threads, and to leave the work area read-write between very few
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threads, and exclusive for multiple messages at once, avoiding the bounces.
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First, the buffer will have 2 indexes:
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- head: where the valid data start
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- tail: where new data need to be appended
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When a thread starts to work, it will keep a copy of $tail and push it forward
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by as many bytes as needed to write all the messages it has to. In order to
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guarantee that neither the previous nor the new $tail point to an outdated or
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overwritten location but that there is always a tag there, $tail contains a
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lock bit in its highest bit that will guarantee that only one at a time will
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update it. The goal here is to perform as few atomic ops as possible in the
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contended path so as to later amortize the costs and make sure to limit the
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number of atomic ops on the wait path to the strict minimum so that waiting
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threads do not hinder the workers:
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Fast path:
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1 load($tail) to check the topmost bit
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1 CAS($tail,$tail|BIT63) to set the bit (atomic_fetch_or / atomic_bts also work)
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1 store(1 byte tag=0xFF) at the beginning to mark the area busy
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1 store($tail) to update the new value
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1 copy of the whole message
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1 store(1 byte tag=0) at the beginning to release the message
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Contented path:
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N load($tail) while waiting for the bit to be zero
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M CAS($tail,$tail|BIT63) to try to set the bit on tail, competing with others
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1 store(1 byte tag=0xFF) at the beginning to mark the area busy
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1 store($tail) to update the new value
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1 copy of the whole message
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1 store(1 byte tag=0) at the beginning to release the message
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Queue
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-----
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In order to limit the contention, writers will not start to write but will wait
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in a queue, announcing their message pointers/lengths and total lengths. The
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queue is made of a (ptr, len) pair that points to one such descriptor, located
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in the waiter thread's stack, that itself points to the next pair. In fact
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messages are ordered in a LIFO fashion but that isn't important since intra-
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thread ordering is preserved (and in the worst case it will also be possible
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to write them from end to beginning).
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The approach is the following: a writer loasd $tail and sees it's busy, there's
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no point continuing, it will add itself to the queue, announcing (ptr, len +
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next->len) so that by just reading the first entry, one knows the total size
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of the queue. And it will wait there as long as $tail has its topmost bit set
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and the queue points to itself (meaning it's the queue's leader), so that only
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one thread in the queue watches $tail, limiting the number of cache line
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bounces. If the queue doesn't point anymore to the current thread, it means
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another thread has taken it over so there's no point continuing, this thread
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just becomes passive. If the lock bit is dropped from $tail, the watching
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thread needs to re-check that it's still the queue's leader before trying to
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grab the lock, so that only the leading thread will attempt it. Indeed, a few
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of the last leading threads might still be looping, unaware that they're no
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longer leaders. A CAS(&queue, self, self) will do it. Upon failure, the thread
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just becomes a passive thread. Upon success, the thread is a confirmed leader,
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it must then try to grab the tail lock. Only this thread and a few potential
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newcomers will compete on this one. If the leading thread wins, it brings all
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the queue with it and the newcomers will queue again. If the leading thread
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loses, it needs to loop back to the point above, watching $tail and the
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queue. In this case a newcomer might have grabbed the lock. It will notice
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the non-empty queue and will take it with it. Thus in both cases the winner
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thread does a CAS(queue, queue, NULL) to reset the queue, keeping the previous
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pointer.
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At this point the winner thread considers its own message size plus the
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retrieved queue's size as the total required size and advances $tail by as
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much, and will iterate over all messages to copy them in turn. The passive
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threads are released by doing XCHG(&ptr->next, ptr) for each message, that
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is normally impossible otherwise. As such, a passive thread just has to
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loop over its own value, stored in its own stack, reading from its L1 cache
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in loops without any risk of disturbing others, hence no need for EBO.
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During the time it took to update $tail, more messages will have been
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accumulating in the queue from various other threads, and once $tail is
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written, one thread can pick them up again.
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The benefit here is that the longer it takes one thread to free some space,
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the more messages add up in the queue and the larger the next batch, so that
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there are always very few contenders on the ring area and on the tail index.
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At worst, the queue pointer is hammered but it's not on the fast path, since
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wasting time here means all waiters will be queued.
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Also, if we keep the first tag unchanged after it's set to 0xFF, it allows to
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avoid atomic ops inside all the message. Indeed there's no reader in the area
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as long as the tag is 0xFF, so we can just write all contents at once including
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the varints and subsequent message tags without ever using atomic ops, hence
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not forcing ordered writes. So maybe in the end there is some value in writing
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the messages backwards from end to beginning, and just writing the first tag
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atomically but not the rest.
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The scenario would look like this:
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(without queue)
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- before starting to work:
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do {
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while (ret=(load(&tail) & BIT63))
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;
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} while (!cas(&tail, &ret, ret | BIT63));
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- at this point, alone on it and guaranteed not to change
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- after new size is calculated, write it and drop the lock:
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store(&tail, new_tail & ~BIT63);
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- that's sufficient to unlock other waiters.
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(with queue)
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in_queue = 0;
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do {
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ret = load(&tail);
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if (ret & BIT63) {
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if (!in_queue) {
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queue_this_node();
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in_queue = 1;
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}
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while (ret & BIT63)
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;
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}
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} while (!cas(&tail, &ret, ret | BIT63));
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dequeue(in_queue) etc.
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Fast path:
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1 load($tail) to check the topmost bit
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1 CAS($tail,$tail|BIT63) to set the bit (atomic_fetch_or / atomic_bts also work)
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1 load of the queue to see that it's empty
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1 store(1 byte tag=0xFF) at the beginning to mark the area busy
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1 store($tail) to update the new value
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1 copy of the whole message
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1 store(1 byte tag=0) at the beginning to release the message
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Contented path:
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1 load($tail) to see the tail is changing
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M CAS(queue,queue,self) to try to add the thread to the queue (avgmax nbthr/2)
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N load($tail) while waiting for the lock bit to become zero
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1 CAS(queue,self,self) to check the leader still is
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M CAS($tail,$tail|BIT63) to try to set the bit on tail, competing with others
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1 CAS(queue,queue,NULL) to reset the queue
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1 store(1 byte tag=0xFF) at the beginning to mark the area busy
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1 store($tail) to update the new value
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1 copy of the whole message
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P copies of individual messages
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P stores of individual pointers to release writers
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1 store(1 byte tag=0) at the beginning to release the message
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Optimal approach (later if needed?): multiple queues. Each thread has one queue
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assigned, either from a thread group, or using a modulo from the thread ID.
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Same as above then.
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Steps
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-----
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It looks that the queue is what allows the process to scale by amortizing a
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single lock for every N messages, but that it's not a prerequisite to start,
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without a queue threads can just wait on $tail.
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Options
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-------
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It is possible to avoid the extra check on CAS(queue,self,self) by forcing
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writers into the queue all the time. It would slow down the fast path but
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may improve the slow path, both of which would become the same:
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Contented path:
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1 XCHG(queue,self) to try to add the thread to the queue
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N load($tail) while waiting for the lock bit to become zero
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M CAS($tail,$tail|BIT63) to try to set the bit on tail, competing with others
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1 CAS(queue,self,NULL) to reset the queue
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1 store(1 byte tag=0xFF) at the beginning to mark the area busy
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1 store($tail) to update the new value
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1 copy of the whole message
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P copies of individual messages
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P stores of individual pointers to release writers
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1 store(1 byte tag=0) at the beginning to release the message
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There seems to remain a race when resetting the queue, where a newcomer thread
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would queue itself while not being the leader. It seems it can be addressed by
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deciding that whoever gets the bit is not important, what matters is the thread
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that manages to reset the queue. This can then be done using another XCHG:
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1 XCHG(queue,self) to try to add the thread to the queue
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N load($tail) while waiting for the lock bit to become zero
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M CAS($tail,$tail|BIT63) to try to set the bit on tail, competing with others
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1 XCHG(queue,NULL) to reset the queue
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1 store(1 byte tag=0xFF) at the beginning to mark the area busy
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1 store($tail) to update the new value
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1 copy of the whole message
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P copies of individual messages
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P stores of individual pointers to release writers
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1 store(1 byte tag=0) at the beginning to release the message
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However this time this can cause fragmentation of multiple sub-queues that will
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need to be reassembled. So finally the CAS is better, the leader thread should
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recognize itself.
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It seems tricky to reliably store the next pointer in each element, and a DWCAS
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wouldn't help here either. Maybe uninitialized elements should just have a
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special value (eg 0x1) for their next pointer, meaning "not initialized yet",
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and that the thread will then replace with the previous queue pointer. A reader
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would have to wait on this value when meeting it, knowing the pointer is not
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filled yet but is coming.
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