x86: mm: clean up tlb flushing code

From: Dave Hansen <dave.hansen@linux.intel.com>

The

	if (cpumask_any_but(mm_cpumask(mm), smp_processor_id()) < nr_cpu_ids)

line of code is not exactly the easiest to audit, especially when
it ends up at two different indentation levels.  This eliminates
one of the the copy-n-paste versions.  It also gives us a unified
exit point for each path through this function.  We need this in
a minute for our tracepoint.

Signed-off-by: Dave Hansen <dave.hansen@linux.intel.com>
x86: mm: rip out complicated, out-of-date, buggy TLB flushing

From: Dave Hansen <dave.hansen@linux.intel.com>

I think the flush_tlb_mm_range() code that tries to tune the
flush sizes based on the CPU needs to get ripped out for
several reasons:

1. It is obviously buggy.  It uses mm->total_vm to judge the
   task's footprint in the TLB.  It should certainly be using
   some measure of RSS, *NOT* ->total_vm since only resident
   memory can populate the TLB.
2. Haswell, and several other CPUs are missing from the
   intel_tlb_flushall_shift_set() function.
3. It is plain wrong in my vm:
	[    0.037444] Last level iTLB entries: 4KB 0, 2MB 0, 4MB 0
	[    0.037444] Last level dTLB entries: 4KB 0, 2MB 0, 4MB 0
	[    0.037444] tlb_flushall_shift: 6
   Which leads to it to never use invlpg.
4. The assumptions about TLB refill costs are wrong:
	http://lkml.kernel.org/r/1337782555-8088-3-git-send-email-alex.shi@intel.com
    (more on this in later patches)
5. I can not reproduce the original data: https://lkml.org/lkml/2012/5/17/59
   I believe the sample times were too short.  Running the
   benchmark in a loop yields times that vary quite a bit.

Note that this leaves us with a static ceiling of 1 page.  This
is a conservative, dumb setting, and will be revised in a later
patch.

Signed-off-by: Dave Hansen <dave.hansen@linux.intel.com>
x86: mm: fix missed global TLB flush stat

From: Dave Hansen <dave.hansen@linux.intel.com>

If we take the

	if (end == TLB_FLUSH_ALL || vmflag & VM_HUGETLB) {
		local_flush_tlb();
		goto out;
	}

path out of flush_tlb_mm_range(), we will have flushed the tlb,
but not incremented NR_TLB_LOCAL_FLUSH_ALL.  This unifies the
way out of the function so that we always take a single path when
doing a full tlb flush.

Signed-off-by: Dave Hansen <dave.hansen@linux.intel.com>
x86: mm: trace tlb flushes

From: Dave Hansen <dave.hansen@linux.intel.com>

We don't have any good way to figure out what kinds of flushes
are being attempted.  Right now, we can try to use the vm
counters, but those only tell us what we actually did with the
hardware (one-by-one vs full) and don't tell us what was actually
_requested_.

This allows us to select out "interesting" TLB flushes that we
might want to optimize (like the ranged ones) and ignore the ones
that we have very little control over (the ones at context
switch).

Also, since we have a pair of tracepoint calls in
flush_tlb_mm_range(), we can time the deltas between them to make
sure that we got the "invlpg vs. global flush" balance correct in
practice.

Signed-off-by: Dave Hansen <dave.hansen@linux.intel.com>
x86: mm: new tunable for single vs full TLB flush

From: Dave Hansen <dave.hansen@linux.intel.com>

Most of the logic here is in the documentation file.  Please take
a look at it.

I know we've come full-circle here back to a tunable, but this
new one is *WAY* simpler.  I challenge anyone to describe in one
sentence how the old one worked.  Here's the way the new one
works:

	If we are flushing more pages than the ceiling, we use
	the full flush, otherwise we use invlpg.

Signed-off-by: Dave Hansen <dave.hansen@linux.intel.com>
x86: mm: set TLB flush tunable to sane value

From: Dave Hansen <dave.hansen@linux.intel.com>

Now that we have some shiny new tracepoints, we can actually
figure out what the heck is going on.

During a kernel compile, 60% of the flush_tlb_mm_range() calls
are for a single page.  It breaks down like this:

 size   percent  percent<=
  V        V        V
GLOBAL:   2.20%   2.20% avg cycles:  2283
     1:  56.92%  59.12% avg cycles:  1276
     2:  13.78%  72.90% avg cycles:  1505
     3:   8.26%  81.16% avg cycles:  1880
     4:   7.41%  88.58% avg cycles:  2447
     5:   1.73%  90.31% avg cycles:  2358
     6:   1.32%  91.63% avg cycles:  2563
     7:   1.14%  92.77% avg cycles:  2862
     8:   0.62%  93.39% avg cycles:  3542
     9:   0.08%  93.47% avg cycles:  3289
    10:   0.43%  93.90% avg cycles:  3570
    11:   0.20%  94.10% avg cycles:  3767
    12:   0.08%  94.18% avg cycles:  3996
    13:   0.03%  94.20% avg cycles:  4077
    14:   0.02%  94.23% avg cycles:  4836
    15:   0.04%  94.26% avg cycles:  5699
    16:   0.06%  94.32% avg cycles:  5041
    17:   0.57%  94.89% avg cycles:  5473
    18:   0.02%  94.91% avg cycles:  5396
    19:   0.03%  94.95% avg cycles:  5296
    20:   0.02%  94.96% avg cycles:  6749
    21:   0.18%  95.14% avg cycles:  6225
    22:   0.01%  95.15% avg cycles:  6393
    23:   0.01%  95.16% avg cycles:  6861
    24:   0.12%  95.28% avg cycles:  6912
    25:   0.05%  95.32% avg cycles:  7190
    26:   0.01%  95.33% avg cycles:  7793
    27:   0.01%  95.34% avg cycles:  7833
    28:   0.01%  95.35% avg cycles:  8253
    29:   0.08%  95.42% avg cycles:  8024
    30:   0.03%  95.45% avg cycles:  9670
    31:   0.01%  95.46% avg cycles:  8949
    32:   0.01%  95.46% avg cycles:  9350
    33:   3.11%  98.57% avg cycles:  8534
    34:   0.02%  98.60% avg cycles: 10977
    35:   0.02%  98.62% avg cycles: 11400

We get in to dimishing returns pretty quickly.  On pre-IvyBridge
CPUs, we used to set the limit at 8 pages, and it was set at 128
on IvyBrige.  That 128 number looks pretty silly considering that
less than 0.5% of the flushes are that large.

The previous code tried to size this number based on the size of
the TLB.  Good idea, but it's error-prone, needs maintenance
(which it didn't get up to now), and probably would not matter in
practice much.

Settting it to 33 means that we cover the mallopt
M_TRIM_THRESHOLD, which is the most universally common size to do
flushes.

That's the short version.  Here's the long one for why I chose 33:

1. These numbers have a constant bias in the timestamps from the
   tracing.  Probably counts for a couple hundred cycles in each of
   these tests, but it should be fairly _even_ across all of them.
   The smallest delta between the tracepoints I have ever seen is
   335 cycles.  This is one reason the cycles/page cost goes down in
   general as the flushes get larger.  The true cost is nearer to
   100 cycles.
2. A full flush is more expensive than a single invlpg, but not
   by much (single percentages).
3. A dtlb miss is 17.1ns (~45 cycles) and a itlb miss is 13.0ns
   (~34 cycles).  At those rates, refilling the 512-entry dTLB takes
   22,000 cycles.
4. 22,000 cycles is approximately the equivalent of doing 85
   invlpg operations.  But, the odds are that the TLB can
   actually be filled up faster than that because TLB misses that
   are close in time also tend to leverage the same caches.
6. ~98% of flushes are <=33 pages.  There are a lot of flushes of
   33 pages, probably because libc's M_TRIM_THRESHOLD is set to
   128k (32 pages)
7. I've found no consistent data to support changing the IvyBridge
   vs. SandyBridge tunable by a factor of 16

I used the performance counters on this hardware (IvyBridge i5-3320M)
to figure out the tlb miss costs:

ocperf.py stat -e dtlb_load_misses.walk_duration,dtlb_load_misses.walk_completed,dtlb_store_misses.walk_duration,dtlb_store_misses.walk_completed,itlb_misses.walk_duration,itlb_misses.walk_completed,itlb.itlb_flush

     7,720,030,970      dtlb_load_misses_walk_duration                                    [57.13%]
       169,856,353      dtlb_load_misses_walk_completed                                    [57.15%]
       708,832,859      dtlb_store_misses_walk_duration                                    [57.17%]
        19,346,823      dtlb_store_misses_walk_completed                                    [57.17%]
     2,779,687,402      itlb_misses_walk_duration                                    [57.15%]
        82,241,148      itlb_misses_walk_completed                                    [57.13%]
           770,717      itlb_itlb_flush                                              [57.11%]

Show that a dtlb miss is 17.1ns (~45 cycles) and a itlb miss is 13.0ns
(~34 cycles).  At those rates, refilling the 512-entry dTLB takes
22,000 cycles.  On a SandyBridge system with more cores and larger
caches, those are dtlb=13.4ns and itlb=9.5ns.

cat perf.stat.txt | perl -pe 's/,//g'
	| awk '/itlb_misses_walk_duration/ { icyc+=$1 }
		/itlb_misses_walk_completed/ { imiss+=$1 }
		/dtlb_.*_walk_duration/ { dcyc+=$1 }
		/dtlb_.*.*completed/ { dmiss+=$1 }
		END {print "itlb cyc/miss: ", icyc/imiss, " dtlb cyc/miss: ", dcyc/dmiss, "   -----    ", icyc,imiss, dcyc,dmiss }

On Westmere CPUs, the counters to use are: itlb_flush,itlb_misses.walk_cycles,itlb_misses.any,dtlb_misses.walk_cycles,dtlb_misses.any

The assumptions that this code went in under:
https://lkml.org/lkml/2012/6/12/119 say that a flush and a refill are
about 100ns.  Being generous, that is over by a factor of 6 on the
refill side, although it is fairly close on the cost of an invlpg.
An increase of a single invlpg operation seems to lengthen the flush
range operation by about 200 cycles.  Here is one example of the data
collected for flushing 10 and 11 pages (full data are below):

    10:   0.43%  93.90% avg cycles:  3570 cycles/page:  357 samples: 4714
    11:   0.20%  94.10% avg cycles:  3767 cycles/page:  342 samples: 2145

How to generate this table:

	echo 10000 > /sys/kernel/debug/tracing/buffer_size_kb
	echo x86-tsc > /sys/kernel/debug/tracing/trace_clock
	echo 'reason != 0' > /sys/kernel/debug/tracing/events/tlb/tlb_flush/filter
	echo 1 > /sys/kernel/debug/tracing/events/tlb/tlb_flush/enable

Pipe the trace output in to this script:

	http://sr71.net/~dave/intel/201402-tlb/trace-time-diff-process.pl.txt

Note that these data were gathered with the invlpg threshold set to
150 pages.  Only data points with >=50 of samples were printed:

Flush    % of     %<=
in       flush    this
pages      es     size
------------------------------------------------------------------------------
    -1:   2.20%   2.20% avg cycles:  2283 cycles/page: xxxx samples: 23960
     1:  56.92%  59.12% avg cycles:  1276 cycles/page: 1276 samples: 620895
     2:  13.78%  72.90% avg cycles:  1505 cycles/page:  752 samples: 150335
     3:   8.26%  81.16% avg cycles:  1880 cycles/page:  626 samples: 90131
     4:   7.41%  88.58% avg cycles:  2447 cycles/page:  611 samples: 80877
     5:   1.73%  90.31% avg cycles:  2358 cycles/page:  471 samples: 18885
     6:   1.32%  91.63% avg cycles:  2563 cycles/page:  427 samples: 14397
     7:   1.14%  92.77% avg cycles:  2862 cycles/page:  408 samples: 12441
     8:   0.62%  93.39% avg cycles:  3542 cycles/page:  442 samples: 6721
     9:   0.08%  93.47% avg cycles:  3289 cycles/page:  365 samples: 917
    10:   0.43%  93.90% avg cycles:  3570 cycles/page:  357 samples: 4714
    11:   0.20%  94.10% avg cycles:  3767 cycles/page:  342 samples: 2145
    12:   0.08%  94.18% avg cycles:  3996 cycles/page:  333 samples: 864
    13:   0.03%  94.20% avg cycles:  4077 cycles/page:  313 samples: 289
    14:   0.02%  94.23% avg cycles:  4836 cycles/page:  345 samples: 236
    15:   0.04%  94.26% avg cycles:  5699 cycles/page:  379 samples: 390
    16:   0.06%  94.32% avg cycles:  5041 cycles/page:  315 samples: 643
    17:   0.57%  94.89% avg cycles:  5473 cycles/page:  321 samples: 6229
    18:   0.02%  94.91% avg cycles:  5396 cycles/page:  299 samples: 224
    19:   0.03%  94.95% avg cycles:  5296 cycles/page:  278 samples: 367
    20:   0.02%  94.96% avg cycles:  6749 cycles/page:  337 samples: 185
    21:   0.18%  95.14% avg cycles:  6225 cycles/page:  296 samples: 1964
    22:   0.01%  95.15% avg cycles:  6393 cycles/page:  290 samples: 83
    23:   0.01%  95.16% avg cycles:  6861 cycles/page:  298 samples: 61
    24:   0.12%  95.28% avg cycles:  6912 cycles/page:  288 samples: 1307
    25:   0.05%  95.32% avg cycles:  7190 cycles/page:  287 samples: 533
    26:   0.01%  95.33% avg cycles:  7793 cycles/page:  299 samples: 94
    27:   0.01%  95.34% avg cycles:  7833 cycles/page:  290 samples: 66
    28:   0.01%  95.35% avg cycles:  8253 cycles/page:  294 samples: 73
    29:   0.08%  95.42% avg cycles:  8024 cycles/page:  276 samples: 846
    30:   0.03%  95.45% avg cycles:  9670 cycles/page:  322 samples: 296
    31:   0.01%  95.46% avg cycles:  8949 cycles/page:  288 samples: 79
    32:   0.01%  95.46% avg cycles:  9350 cycles/page:  292 samples: 60
    33:   3.11%  98.57% avg cycles:  8534 cycles/page:  258 samples: 33936
    34:   0.02%  98.60% avg cycles: 10977 cycles/page:  322 samples: 268
    35:   0.02%  98.62% avg cycles: 11400 cycles/page:  325 samples: 177
    36:   0.01%  98.63% avg cycles: 11504 cycles/page:  319 samples: 161
    37:   0.02%  98.65% avg cycles: 11596 cycles/page:  313 samples: 182
    38:   0.02%  98.66% avg cycles: 11850 cycles/page:  311 samples: 195
    39:   0.01%  98.68% avg cycles: 12158 cycles/page:  311 samples: 128
    40:   0.01%  98.68% avg cycles: 11626 cycles/page:  290 samples: 78
    41:   0.04%  98.73% avg cycles: 11435 cycles/page:  278 samples: 477
    42:   0.01%  98.73% avg cycles: 12571 cycles/page:  299 samples: 74
    43:   0.01%  98.74% avg cycles: 12562 cycles/page:  292 samples: 78
    44:   0.01%  98.75% avg cycles: 12991 cycles/page:  295 samples: 108
    45:   0.01%  98.76% avg cycles: 13169 cycles/page:  292 samples: 78
    46:   0.02%  98.78% avg cycles: 12891 cycles/page:  280 samples: 261
    47:   0.01%  98.79% avg cycles: 13099 cycles/page:  278 samples: 67
    48:   0.01%  98.80% avg cycles: 13851 cycles/page:  288 samples: 77
    49:   0.01%  98.80% avg cycles: 13749 cycles/page:  280 samples: 66
    50:   0.01%  98.81% avg cycles: 13949 cycles/page:  278 samples: 73
    52:   0.00%  98.82% avg cycles: 14243 cycles/page:  273 samples: 52
    54:   0.01%  98.83% avg cycles: 15312 cycles/page:  283 samples: 87
    55:   0.01%  98.84% avg cycles: 15197 cycles/page:  276 samples: 109
    56:   0.02%  98.86% avg cycles: 15234 cycles/page:  272 samples: 208
    57:   0.00%  98.86% avg cycles: 14888 cycles/page:  261 samples: 53
    58:   0.01%  98.87% avg cycles: 15037 cycles/page:  259 samples: 59
    59:   0.01%  98.87% avg cycles: 15752 cycles/page:  266 samples: 63
    62:   0.00%  98.89% avg cycles: 16222 cycles/page:  261 samples: 54
    64:   0.02%  98.91% avg cycles: 17179 cycles/page:  268 samples: 248
    65:   0.12%  99.03% avg cycles: 18762 cycles/page:  288 samples: 1324
    85:   0.00%  99.10% avg cycles: 21649 cycles/page:  254 samples: 50
   127:   0.01%  99.18% avg cycles: 32397 cycles/page:  255 samples: 75
   128:   0.13%  99.31% avg cycles: 31711 cycles/page:  247 samples: 1466
   129:   0.18%  99.49% avg cycles: 33017 cycles/page:  255 samples: 1927
   181:   0.33%  99.84% avg cycles:  2489 cycles/page:   13 samples: 3547
   256:   0.05%  99.91% avg cycles:  2305 cycles/page:    9 samples: 550
   512:   0.03%  99.95% avg cycles:  2133 cycles/page:    4 samples: 304
  1512:   0.01%  99.99% avg cycles:  3038 cycles/page:    2 samples: 65

Here are the tlb counters during a 10-second slice of a kernel compile
for a SandyBridge system.  It's better than IvyBridge, but probably
due to the larger caches since this was one of the 'X' extreme parts.

    10,873,007,282      dtlb_load_misses_walk_duration
       250,711,333      dtlb_load_misses_walk_completed
     1,212,395,865      dtlb_store_misses_walk_duration
        31,615,772      dtlb_store_misses_walk_completed
     5,091,010,274      itlb_misses_walk_duration
       163,193,511      itlb_misses_walk_completed
         1,321,980      itlb_itlb_flush

      10.008045158 seconds time elapsed

# cat perf.stat.1392743721.txt | perl -pe 's/,//g' | awk '/itlb_misses_walk_duration/ { icyc+=$1 } /itlb_misses_walk_completed/ { imiss+=$1 } /dtlb_.*_walk_duration/ { dcyc+=$1 } /dtlb_.*.*completed/ { dmiss+=$1 } END {print "itlb cyc/miss: ", icyc/imiss/3.3, " dtlb cyc/miss: ", dcyc/dmiss/3.3, "   -----    ", icyc,imiss, dcyc,dmiss }'
itlb ns/miss:  9.45338  dtlb ns/miss:  12.9716

Signed-off-by: Dave Hansen <dave.hansen@linux.intel.com>
big time hack: instrument flush times

From: Dave Hansen <dave.hansen@linux.intel.com>

The tracepoint code is a _bit_ too much overhead, so use some
percpu counters to aggregate it instead.  Yes, this is racy
and ugly beyond reason, but it was quick to code up.

I'm posting this here because it's interesting to have around,
and if other folks like it, maybe I can get it in to shape to
stick in to mainline.