Re: [PATCH -v4 0/5] x86,smp: make ticket spinlock proportional backoff w/ auto tuning

[Raghavendra K T <raghavendra.kt@linux.vnet.ibm.com>]

On 01/26/2013 12:35 AM, Rik van Riel wrote:
> Many spinlocks are embedded in data structures; having many CPUs
> pounce on the cache line the lock is in will slow down the lock
> holder, and can cause system performance to fall off a cliff.
>
> The paper "Non-scalable locks are dangerous" is a good reference:
>
> 	http://pdos.csail.mit.edu/papers/linux:lock.pdf
>
> In the Linux kernel, spinlocks are optimized for the case of
> there not being contention. After all, if there is contention,
> the data structure can be improved to reduce or eliminate
> lock contention.
>
> Likewise, the spinlock API should remain simple, and the
> common case of the lock not being contended should remain
> as fast as ever.
>
> However, since spinlock contention should be fairly uncommon,
> we can add functionality into the spinlock slow path that keeps
> system performance from falling off a cliff when there is lock
> contention.
>
> Proportional delay in ticket locks is delaying the time between
> checking the ticket based on a delay factor, and the number of
> CPUs ahead of us in the queue for this lock. Checking the lock
> less often allows the lock holder to continue running, resulting
> in better throughput and preventing performance from dropping
> off a cliff.
>
> The test case has a number of threads locking and unlocking a
> semaphore. With just one thread, everything sits in the CPU
> cache and throughput is around 2.6 million operations per
> second, with a 5-10% variation.
>
> Once a second thread gets involved, data structures bounce
> from CPU to CPU, and performance deteriorates to about 1.25
> million operations per second, with a 5-10% variation.
>
> However, as more and more threads get added to the mix,
> performance with the vanilla kernel continues to deteriorate.
> Once I hit 24 threads, on a 24 CPU, 4 node test system,
> performance is down to about 290k operations/second.
>
> With a proportional backoff delay added to the spinlock
> code, performance with 24 threads goes up to about 400k
> operations/second with a 50x delay, and about 900k operations/second
> with a 250x delay. However, with a 250x delay, performance with
> 2-5 threads is worse than with a 50x delay.
>
> Making the code auto-tune the delay factor results in a system
> that performs well with both light and heavy lock contention,
> and should also protect against the (likely) case of the fixed
> delay factor being wrong for other hardware.
>
> The attached graph shows the performance of the multi threaded
> semaphore lock/unlock test case, with 1-24 threads, on the
> vanilla kernel, with 10x, 50x, and 250x proportional delay,
> as well as the v1 patch series with autotuning for 2x and 2.7x
> spinning before the lock is obtained, and with the v2 series.
>
> The v2 series integrates several ideas from Michel Lespinasse
> and Eric Dumazet, which should result in better throughput and
> nicer behaviour in situations with contention on multiple locks.
>
> For the v3 series, I tried out all the ideas suggested by
> Michel. They made perfect sense, but in the end it turned
> out they did not work as well as the simple, aggressive
> "try to make the delay longer" policy I have now. Several
> small bug fixes and cleanups have been integrated.
>
> For the v4 series, I added code to keep the maximum spinlock
> delay to a small value when running in a virtual machine. That
> should solve the performance regression seen in virtual machines.
>
> The performance issue observed with AIM7 is still a mystery.
>
> Performance is within the margin of error of v2, so the graph
> has not been update.
>
> Please let me know if you manage to break this code in any way,
> so I can fix it...
>

After the introduction of patch 5 which limits the delay loops to 16,
I am no more seeing the degradation in virtual guests as reported
earlier, but improvements.

For the whole series:
Reviewed-by: Raghavendra K T <raghavendra.kt@linux.vnet.ibm.com>