RFR(XL): 8203469: Faster safepoints

Robbin Ehn robbin.ehn at oracle.com
Mon Jan 28 13:04:52 UTC 2019


Hi all, here is v05.

http://cr.openjdk.java.net/~rehn/8203469/v05/
http://cr.openjdk.java.net/~rehn/8203469/v05/inc/

I have been asked to go on-top-of:
https://mail.openjdk.java.net/pipermail/hotspot-dev/2019-January/036425.html
With a small grace-period.
There will be a v06 rebase on-top of that.

Updated after comments and changes regarding safepoint_safe().
In JFR code path, thread is always current, so it should not be calling
safepoint_safe. It also don't control polls, so even if it returns true it is
not safe in that case.

Updated to a handshake_safe() private method with a friend for handshakes.

Test t1-3, stress testing and JFR.

Thanks, Robbin

On 1/15/19 11:39 AM, Robbin Ehn wrote:
> Hi all, please review.
> 
> Bug: https://bugs.openjdk.java.net/browse/JDK-8203469
> Code: http://cr.openjdk.java.net/~rehn/8203469/v00/webrev/
> 
> Thanks to Dan for pre-reviewing a lot!
> 
> Background:
> ZGC often does very short safepoint operations. For a perspective, in a
> specJBB2015 run, G1 can have young collection stops lasting about 170 ms. While
> in the same setup ZGC does 0.2ms to 1.5 ms operations depending on which
> operation it is. The time it takes to stop and start the JavaThreads is relative
> very large to a ZGC safepoint. With an operation that just takes 0.2ms the
> overhead of stopping and starting JavaThreads is several times the operation.
> 
> High-level functionality change:
> Serializing the starting over Threads_lock takes time.
> - Don't wait on Threads_lock use the WaitBarrier.
> Serializing the stopping over Safepoint_lock takes time.
> - Let threads stop in parallel, remove Safepoint_lock.
> 
> Details:
> JavaThreads have 2 abstract logical states: unsafe or safe.
> - Safe means the JavaThread will not touch Java heap or VM internal structures
>    without doing a transition and block before doing so.
>          - The safe states are:
>                  - When polls armed: _thread_in_native and _thread_blocked.
>                  - When Threads_lock is held: externally suspended flag is set.
>          - VM Thread have polls armed and holds the Threads_lock during a
>            safepoint.
> - Unsafe means that either Java heap or VM internal structures can be accessed
>    by the JavaThread, e.g., _thread_in_Java, _thread_in_vm.
>          - All combination that are not safe are unsafe.
> 
> We cannot start a safepoint until all unsafe threads have transitioned to a safe
> state. To make them safe, we arm polls in compiled code and make sure any
> transition to another unsafe state will be blocked. JavaThreads which are unsafe
> with state _thread_in_Java may transition to _thread_in_native without being
> blocked, since it just became a safe thread and we can proceed. Any safe thread
> may try to transition at any time to an unsafe state, thus coming into the
> safepoint blocking code at any moment, e.g., after the safepoint is over, or
> even at the beginning of next safepoint.
> 
> The VMThread cannot tolerate false positives from the JavaThread thread state
> because that would mean starting the safepoint without all JavaThreads being
> safe. The two locks (Threads_lock and Safepoint_lock) make sure we never observe
> false positives from the safepoint blocking code, if we remove them, how do we
> handle false positives?
> 
> By first publishing which barrier tag (safepoint counter) we will call
> WaitBarrier.wait() with as the threads safepoint id and then change the state to
> _thread_blocked, the VMThread can ignore JavaThreads by doing a stable load of
> the state. A stable load of the thread state is successful if the thread
> safepoint id is the same both before and after the load of the state and
> safepoint id is current or InactiveSafepointCounter. If the stable load fails,
> the thread is considered safepoint unsafe. It's no longer enough that thread is
> have state _thread_blocked it must also have correct safepoint id before and
> after we read the state.
> 
> Performance:
> The result of faster safepoints is that the average CPU time for JavaThreads
> between safepoints is higher, thus increasing the allocation rate. The thread
> that stops first waits shorter time until it gets started. Even the thread that
> stops last also have shorter stop since we start them faster. If your
> application is using a concurrent GC it may need re-tunning since each java
> worker thread have an increased CPU time/allocation rate. Often this means max
> performance is achieved using slightly less java worker threads than before.
> Also the increase allocation rate means shorter time between GC safepoints.
> - If you are using a non-concurrent GC, you should see improved latency and
>    throughput.
> - After re-tunning with a concurrent GC throughput should be equal or better but
>    with better latency. But bear in mind this is a latency patch, not a
>    throughput one.
> With current code a java thread is not to guarantee to run between safepoint (in
> theory a java thread can be starved indefinitely), since the VM thread may
> re-grab the Threads_locks before it woke up from previous safepoint. If the
> GC/VM don't respect MMU (minimum mutator utilization) or if your machine is very
> over-provisioned this can happen.
> The current schema thus re-safepoint quickly if the java threads have not
> started yet at the cost of latency. Since the new code uses the WaitBarrier with
> the safepoint counter, all threads must roll forward to next safepoint by
> getting at least some CPU time between two safepoints. Meaning MMU violations
> are more obvious.
> 
> Some examples on numbers:
> - On a 16 strand machine synchronization and un-synchronization/starting is at
>    least 3x faster (in non-trivial test). Synchronization ~600 -> ~100us and
>    starting ~400->~100us.
>    (Semaphore path is a bit slower than futex in the WaitBarrier on Linux).
> - SPECjvm2008 serial (untuned G1) gives 10x (1 ms vs 100 us) faster
>    synchronization time on 16 strands and ~5% score increase. In this case the GC
>    op is 1ms, so we reduce the overhead of synchronization from 100% to 10%.
> - specJBB2015 ParGC ~9% increase in critical-jops.
> 
> Thanks, Robbin


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