Thread (6 messages) flat view 6 messages, 4 authors, 2020-10-07

Re: [PATCH v3] pseries/hotplug-memory: hot-add: skip redundant LMB lookup

From: Scott Cheloha <hidden>
Date: 2020-09-16 14:43:35

On Wed, Sep 16, 2020 at 09:39:53AM +0200, David Hildenbrand wrote:
On 15.09.20 21:46, Scott Cheloha wrote:
quoted
During memory hot-add, dlpar_add_lmb() calls memory_add_physaddr_to_nid()
to determine which node id (nid) to use when later calling __add_memory().

This is wasteful.  On pseries, memory_add_physaddr_to_nid() finds an
appropriate nid for a given address by looking up the LMB containing the
address and then passing that LMB to of_drconf_to_nid_single() to get the
nid.  In dlpar_add_lmb() we get this address from the LMB itself.

In short, we have a pointer to an LMB and then we are searching for
that LMB *again* in order to find its nid.

If we call of_drconf_to_nid_single() directly from dlpar_add_lmb() we
can skip the redundant lookup.  The only error handling we need to
duplicate from memory_add_physaddr_to_nid() is the fallback to the
default nid when drconf_to_nid_single() returns -1 (NUMA_NO_NODE) or
an invalid nid.

Skipping the extra lookup makes hot-add operations faster, especially
on machines with many LMBs.

Consider an LPAR with 126976 LMBs.  In one test, hot-adding 126000
LMBs on an upatched kernel took ~3.5 hours while a patched kernel
completed the same operation in ~2 hours:

Unpatched (12450 seconds):
Sep  9 04:06:31 ltc-brazos1 drmgr[810169]: drmgr: -c mem -a -q 126000
Sep  9 04:06:31 ltc-brazos1 kernel: pseries-hotplug-mem: Attempting to hot-add 126000 LMB(s)
[...]
Sep  9 07:34:01 ltc-brazos1 kernel: pseries-hotplug-mem: Memory at 20000000 (drc index 80000002) was hot-added

Patched (7065 seconds):
Sep  8 21:49:57 ltc-brazos1 drmgr[877703]: drmgr: -c mem -a -q 126000
Sep  8 21:49:57 ltc-brazos1 kernel: pseries-hotplug-mem: Attempting to hot-add 126000 LMB(s)
[...]
Sep  8 23:27:42 ltc-brazos1 kernel: pseries-hotplug-mem: Memory at 20000000 (drc index 80000002) was hot-added

It should be noted that the speedup grows more substantial when
hot-adding LMBs at the end of the drconf range.  This is because we
are skipping a linear LMB search.

To see the distinction, consider smaller hot-add test on the same
LPAR.  A perf-stat run with 10 iterations showed that hot-adding 4096
LMBs completed less than 1 second faster on a patched kernel:

Unpatched:
 Performance counter stats for 'drmgr -c mem -a -q 4096' (10 runs):

        104,753.42 msec task-clock                #    0.992 CPUs utilized            ( +-  0.55% )
             4,708      context-switches          #    0.045 K/sec                    ( +-  0.69% )
             2,444      cpu-migrations            #    0.023 K/sec                    ( +-  1.25% )
               394      page-faults               #    0.004 K/sec                    ( +-  0.22% )
   445,902,503,057      cycles                    #    4.257 GHz                      ( +-  0.55% )  (66.67%)
     8,558,376,740      stalled-cycles-frontend   #    1.92% frontend cycles idle     ( +-  0.88% )  (49.99%)
   300,346,181,651      stalled-cycles-backend    #   67.36% backend cycles idle      ( +-  0.76% )  (50.01%)
   258,091,488,691      instructions              #    0.58  insn per cycle
                                                  #    1.16  stalled cycles per insn  ( +-  0.22% )  (66.67%)
    70,568,169,256      branches                  #  673.660 M/sec                    ( +-  0.17% )  (50.01%)
     3,100,725,426      branch-misses             #    4.39% of all branches          ( +-  0.20% )  (49.99%)

           105.583 +- 0.589 seconds time elapsed  ( +-  0.56% )

Patched:
 Performance counter stats for 'drmgr -c mem -a -q 4096' (10 runs):

        104,055.69 msec task-clock                #    0.993 CPUs utilized            ( +-  0.32% )
             4,606      context-switches          #    0.044 K/sec                    ( +-  0.20% )
             2,463      cpu-migrations            #    0.024 K/sec                    ( +-  0.93% )
               394      page-faults               #    0.004 K/sec                    ( +-  0.25% )
   442,951,129,921      cycles                    #    4.257 GHz                      ( +-  0.32% )  (66.66%)
     8,710,413,329      stalled-cycles-frontend   #    1.97% frontend cycles idle     ( +-  0.47% )  (50.06%)
   299,656,905,836      stalled-cycles-backend    #   67.65% backend cycles idle      ( +-  0.39% )  (50.02%)
   252,731,168,193      instructions              #    0.57  insn per cycle
                                                  #    1.19  stalled cycles per insn  ( +-  0.20% )  (66.66%)
    68,902,851,121      branches                  #  662.173 M/sec                    ( +-  0.13% )  (49.94%)
     3,100,242,882      branch-misses             #    4.50% of all branches          ( +-  0.15% )  (49.98%)

           104.829 +- 0.325 seconds time elapsed  ( +-  0.31% )

This is consistent.  An add-by-count hot-add operation adds LMBs
greedily, so LMBs near the start of the drconf range are considered
first.  On an otherwise idle LPAR with so many LMBs we would expect to
find the LMBs we need near the start of the drconf range, hence the
smaller speedup.

Signed-off-by: Scott Cheloha <redacted>

Hi Scott,

IIRC, ppc DLPAR does a single add_memory() [...]
Yes.
[...] for each LMB (16 MB).
The block size is set by the hypervisor.  The default is 256MB.  In
this test I had a block size of 256MB.

On multi-terabyte machines I would effectively always expect a block
size of 256MB.  16MB blocks are supported, but it is not the default
setting so it is increasingly rare.
With tons of LMBs, this will also make /proc/iomem explode in size (using a
list-based tree), making traversal significantly slower e.g., on
insertions and system ram walks.

I was wondering if you would get another performance boost under ppc
when using MEMHP_MERGE_RESOURCE [1]. AFAIKs, the resource boundaries are
not of interest. No guarantees, might be worth a try.
I'll give it a shot.
Did you investigate what else makes memory hotplug that slow? (126000
LMBs correspond to roughly 2TB, that shouldn't take 2 hours ...)
It was about ~31TB in 256MB blocks.  It's a worst-case test (add all
the memory), but I'm pretty happy with a 1.5 hour improvement :)
Memory block devices might still be a slowdown (although we have an
xarray in place now that takes care of most pain).
Memory block devices are no longer a hotspot.

Some of the slowdown is in the printk overhead.  We print a log for
every LMB.  It is very silly.  I intend to move those to a debug
priority, which should trivially speed things up.

Otherwise I need to do more profiling.
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