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Message-ID: <20190514145445.GB2825@fuggles.cambridge.arm.com>
Date: Tue, 14 May 2019 15:54:45 +0100
From: Will Deacon <will.deacon@....com>
To: Yang Shi <yang.shi@...ux.alibaba.com>
Cc: jstancek@...hat.com, peterz@...radead.org, namit@...are.com,
minchan@...nel.org, mgorman@...e.de, stable@...r.kernel.org,
linux-mm@...ck.org, linux-kernel@...r.kernel.org
Subject: Re: [v2 PATCH] mm: mmu_gather: remove __tlb_reset_range() for force
flush
On Mon, May 13, 2019 at 04:01:09PM -0700, Yang Shi wrote:
>
>
> On 5/13/19 9:38 AM, Will Deacon wrote:
> > On Fri, May 10, 2019 at 07:26:54AM +0800, Yang Shi wrote:
> > > diff --git a/mm/mmu_gather.c b/mm/mmu_gather.c
> > > index 99740e1..469492d 100644
> > > --- a/mm/mmu_gather.c
> > > +++ b/mm/mmu_gather.c
> > > @@ -245,14 +245,39 @@ void tlb_finish_mmu(struct mmu_gather *tlb,
> > > {
> > > /*
> > > * If there are parallel threads are doing PTE changes on same range
> > > - * under non-exclusive lock(e.g., mmap_sem read-side) but defer TLB
> > > - * flush by batching, a thread has stable TLB entry can fail to flush
> > > - * the TLB by observing pte_none|!pte_dirty, for example so flush TLB
> > > - * forcefully if we detect parallel PTE batching threads.
> > > + * under non-exclusive lock (e.g., mmap_sem read-side) but defer TLB
> > > + * flush by batching, one thread may end up seeing inconsistent PTEs
> > > + * and result in having stale TLB entries. So flush TLB forcefully
> > > + * if we detect parallel PTE batching threads.
> > > + *
> > > + * However, some syscalls, e.g. munmap(), may free page tables, this
> > > + * needs force flush everything in the given range. Otherwise this
> > > + * may result in having stale TLB entries for some architectures,
> > > + * e.g. aarch64, that could specify flush what level TLB.
> > > */
> > > - if (mm_tlb_flush_nested(tlb->mm)) {
> > > - __tlb_reset_range(tlb);
> > > - __tlb_adjust_range(tlb, start, end - start);
> > > + if (mm_tlb_flush_nested(tlb->mm) && !tlb->fullmm) {
> > > + /*
> > > + * Since we can't tell what we actually should have
> > > + * flushed, flush everything in the given range.
> > > + */
> > > + tlb->freed_tables = 1;
> > > + tlb->cleared_ptes = 1;
> > > + tlb->cleared_pmds = 1;
> > > + tlb->cleared_puds = 1;
> > > + tlb->cleared_p4ds = 1;
> > > +
> > > + /*
> > > + * Some architectures, e.g. ARM, that have range invalidation
> > > + * and care about VM_EXEC for I-Cache invalidation, need force
> > > + * vma_exec set.
> > > + */
> > > + tlb->vma_exec = 1;
> > > +
> > > + /* Force vma_huge clear to guarantee safer flush */
> > > + tlb->vma_huge = 0;
> > > +
> > > + tlb->start = start;
> > > + tlb->end = end;
> > > }
> > Whilst I think this is correct, it would be interesting to see whether
> > or not it's actually faster than just nuking the whole mm, as I mentioned
> > before.
> >
> > At least in terms of getting a short-term fix, I'd prefer the diff below
> > if it's not measurably worse.
>
> I did a quick test with ebizzy (96 threads with 5 iterations) on my x86 VM,
> it shows slightly slowdown on records/s but much more sys time spent with
> fullmm flush, the below is the data.
>
> nofullmm fullmm
> ops (records/s) 225606 225119
> sys (s) 0.69 1.14
>
> It looks the slight reduction of records/s is caused by the increase of sys
> time.
That's not what I expected, and I'm unable to explain why moving to fullmm
would /increase/ the system time. I would've thought the time spent doing
the invalidation would decrease, with the downside that the TLB is cold
when returning back to userspace.
FWIW, I ran 10 iterations of ebizzy on my arm64 box using a vanilla 5.1
kernel and the numbers are all over the place (see below). I think
deducing anything meaningful from this benchmark will be a challenge.
Will
--->8
306090 records/s
real 10.00 s
user 1227.55 s
sys 0.54 s
323547 records/s
real 10.00 s
user 1262.95 s
sys 0.82 s
409148 records/s
real 10.00 s
user 1266.54 s
sys 0.94 s
341507 records/s
real 10.00 s
user 1263.49 s
sys 0.66 s
375910 records/s
real 10.00 s
user 1259.87 s
sys 0.82 s
376152 records/s
real 10.00 s
user 1265.76 s
sys 0.96 s
358862 records/s
real 10.00 s
user 1251.13 s
sys 0.72 s
358164 records/s
real 10.00 s
user 1243.48 s
sys 0.85 s
332148 records/s
real 10.00 s
user 1260.93 s
sys 0.70 s
367021 records/s
real 10.00 s
user 1264.06 s
sys 1.43 s
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