On 5/16/19 11:29 PM, Jan Stancek wrote:
----- Original Message -----
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.
I tried ebizzy with various parameters (malloc vs mmap, ran it for hour), but performance was very similar for both patches.
So, I was looking for workload that would demonstrate the largest difference. Inspired by python xml-rpc, which can handle each request in new thread, I tried following [1]:
16 threads, each looping 100k times over: mmap(16M) touch 1 page madvise(DONTNEED) munmap(16M)
This yields quite significant difference for 2 patches when running on my 46 CPU arm host. I checked it twice - applied patch, recompiled, rebooted, but numbers stayed +- couple seconds the same.
Thanks for the testing. I'm a little bit surprised by the significant difference.
I did the same test on my x86 VM (24 cores), they yield almost same number.
Given the significant improvement on arm64 with fullmm version, I'm going to respin the patch.
Does it somewhat match your expectation?
v2 patch
real 2m33.460s user 0m3.359s sys 15m32.307s
real 2m33.895s user 0m2.749s sys 16m34.500s
real 2m35.666s user 0m3.528s sys 15m23.377s
real 2m32.898s user 0m2.789s sys 16m18.801s
real 2m33.087s user 0m3.565s sys 16m23.815s
fullmm version
real 0m46.811s user 0m1.596s sys 1m47.500s
real 0m47.322s user 0m1.803s sys 1m48.449s
real 0m46.668s user 0m1.508s sys 1m47.352s
real 0m46.742s user 0m2.007s sys 1m47.217s
real 0m46.948s user 0m1.785s sys 1m47.906s
[1] https://github.com/jstancek/reproducers/blob/master/kernel/page_fault_stall/...