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Re: [Xen-devel] Ongoing/future speculative mitigation work

On Thu, Oct 25, 2018 at 11:43 AM Andrew Cooper
<andrew.cooper3@xxxxxxxxxx> wrote:
> On 25/10/18 18:35, Tamas K Lengyel wrote:
> > On Thu, Oct 25, 2018 at 11:02 AM George Dunlap <george.dunlap@xxxxxxxxxx> 
> > wrote:
> >> On 10/25/2018 05:55 PM, Andrew Cooper wrote:
> >>> On 24/10/18 16:24, Tamas K Lengyel wrote:
> >>>>> A solution to this issue was proposed, whereby Xen synchronises siblings
> >>>>> on vmexit/entry, so we are never executing code in two different
> >>>>> privilege levels.  Getting this working would make it safe to continue
> >>>>> using hyperthreading even in the presence of L1TF.  Obviously, its going
> >>>>> to come in perf hit, but compared to disabling hyperthreading, all its
> >>>>> got to do is beat a 60% perf hit to make it the preferable option for
> >>>>> making your system L1TF-proof.
> >>>> Could you shed some light what tests were done where that 60%
> >>>> performance hit was observed? We have performed intensive stress-tests
> >>>> to confirm this but according to our findings turning off
> >>>> hyper-threading is actually improving performance on all machines we
> >>>> tested thus far.
> >>> Aggregate inter and intra host disk and network throughput, which is a
> >>> reasonable approximation of a load of webserver VM's on a single
> >>> physical server.  Small packet IO was hit worst, as it has a very high
> >>> vcpu context switch rate between dom0 and domU.  Disabling HT means you
> >>> have half the number of logical cores to schedule on, which doubles the
> >>> mean time to next timeslice.
> >>>
> >>> In principle, for a fully optimised workload, HT gets you ~30% extra due
> >>> to increased utilisation of the pipeline functional units.  Some
> >>> resources are statically partitioned, while some are competitively
> >>> shared, and its now been well proven that actions on one thread can have
> >>> a large effect on others.
> >>>
> >>> Two arbitrary vcpus are not an optimised workload.  If the perf
> >>> improvement you get from not competing in the pipeline is greater than
> >>> the perf loss from Xen's reduced capability to schedule, then disabling
> >>> HT would be an improvement.  I can certainly believe that this might be
> >>> the case for Qubes style workloads where you are probably not very
> >>> overprovisioned, and you probably don't have long running IO and CPU
> >>> bound tasks in the VMs.
> >> As another data point, I think it was MSCI who said they always disabled
> >> hyperthreading, because they also found that their workloads ran slower
> >> with HT than without.  Presumably they were doing massive number
> >> crunching, such that each thread was waiting on the ALU a significant
> >> portion of the time anyway; at which point the superscalar scheduling
> >> and/or reduction in cache efficiency would have brought performance from
> >> "no benefit" down to "negative benefit".
> >>
> > Thanks for the insights. Indeed, we are primarily concerned with
> > performance of Qubes-style workloads which may range from
> > no-oversubscription to heavily oversubscribed. It's not a workload we
> > can predict or optimize before-hand, so we are looking for a default
> > that would be 1) safe and 2) performant in the most general case
> > possible.
> So long as you've got the XSA-273 patches, you should be able to park
> and re-reactivate hyperthreads using `xen-hptool cpu-{online,offline} $CPU`.
> You should be able to effectively change hyperthreading configuration at
> runtime.  It's not quite the same as changing it in the BIOS, but from a
> competition of pipeline resources, it should be good enough.

Thanks, indeed that is a handy tool to have. We often can't disable
hyperthreading in the BIOS anyway because most BIOS' don't allow you
to do that when TXT is used. That said, with this tool we still
require some way to determine when to do parking/reactivation of
hyperthreads. We could certainly park hyperthreads when we see the
system is being oversubscribed in terms of number of vCPUs being
active, but for real optimization we would have to understand the
workloads running within the VMs if I understand correctly?


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