[llvm-dev] llvm (the middle-end) is getting slower, December edition

Davide Italiano via llvm-dev llvm-dev at lists.llvm.org
Sat Dec 17 18:53:28 PST 2016


On Sat, Dec 17, 2016 at 6:39 PM, Mehdi Amini <mehdi.amini at apple.com> wrote:
>
>> On Dec 17, 2016, at 1:35 PM, Davide Italiano via llvm-dev <llvm-dev at lists.llvm.org> wrote:
>>
>> First of all, sorry for the long mail.
>> Inspired by the excellent analysis Rui did for lld, I decided to do
>> the same for llvm.
>> I'm personally very interested in build-time for LTO configuration,
>> with particular attention to the time spent in the optimizer.
>> Rafael did something similar back in March, so this can be considered
>> as an update. This tries to include a more accurate high-level
>> analysis of where llvm is spending CPU cycles.
>> Here I present 2 cases: clang building itself with `-flto` (Full), and
>> clang building an internal codebase which I'm going to refer as
>> `game7`.
>> It's a mid-sized program (it's actually a game), more or less of the
>> size of clang, which we use internally as benchmark to track
>> compile-time/runtime improvements/regression.
>> I picked two random revisions of llvm: trunk (December 16th 2016) and
>> trunk (June 2nd 2016), so, roughly, 6 months period.
>> My setup is a Mac Pro running Linux (NixOS).
>> These are the numbers I collected (including the output of -mllvm -time-passes).
>> For clang:
>>
>> June 2nd:
>> real    22m9.278s
>> user    21m30.410s
>> sys     0m38.834s
>>  Total Execution Time: 1270.4795 seconds (1269.1330 wall clock)
>>  289.8102 ( 23.5%)  18.8891 ( 53.7%)  308.6993 ( 24.3%)  308.6906 (
>> 24.3%)  X86 DAG->DAG Instruction Selection
>>  97.2730 (  7.9%)   0.7656 (  2.2%)  98.0386 (  7.7%)  98.0010 (
>> 7.7%)  Global Value Numbering
>>  62.4091 (  5.1%)   0.4779 (  1.4%)  62.8870 (  4.9%)  62.8665 (
>> 5.0%)  Function Integration/Inlining
>>  58.6923 (  4.8%)   0.4767 (  1.4%)  59.1690 (  4.7%)  59.1323 (
>> 4.7%)  Combine redundant instructions
>>  53.9602 (  4.4%)   0.6163 (  1.8%)  54.5765 (  4.3%)  54.5409 (
>> 4.3%)  Combine redundant instructions
>>  51.0470 (  4.1%)   0.5703 (  1.6%)  51.6173 (  4.1%)  51.5425 (
>> 4.1%)  Loop Strength Reduction
>>  47.4067 (  3.8%)   1.3040 (  3.7%)  48.7106 (  3.8%)  48.7034 (
>> 3.8%)  Greedy Register Allocator
>>  36.7463 (  3.0%)   0.8133 (  2.3%)  37.5597 (  3.0%)  37.4612 (
>> 3.0%)  Induction Variable Simplification
>>  37.0125 (  3.0%)   0.2699 (  0.8%)  37.2824 (  2.9%)  37.2478 (
>> 2.9%)  Combine redundant instructions
>>  34.2071 (  2.8%)   0.2737 (  0.8%)  34.4808 (  2.7%)  34.4487 (
>> 2.7%)  Combine redundant instructions
>>  25.6627 (  2.1%)   0.3215 (  0.9%)  25.9842 (  2.0%)  25.9509 (
>> 2.0%)  Combine redundant instructions
>>
>> Dec 16th:
>> real    27m34.922s
>> user    26m53.489s
>> sys     0m41.533s
>>
>>  287.5683 ( 18.5%)  19.7048 ( 52.3%)  307.2731 ( 19.3%)  307.2648 (
>> 19.3%)  X86 DAG->DAG Instruction Selection
>>  197.9211 ( 12.7%)   0.5104 (  1.4%)  198.4314 ( 12.5%)  198.4091 (
>> 12.5%)  Function Integration/Inlining
>>  106.9669 (  6.9%)   0.8316 (  2.2%)  107.7984 (  6.8%)  107.7633 (
>> 6.8%)  Global Value Numbering
>>  89.7571 (  5.8%)   0.4840 (  1.3%)  90.2411 (  5.7%)  90.2067 (
>> 5.7%)  Combine redundant instructions
>>  79.0456 (  5.1%)   0.7534 (  2.0%)  79.7990 (  5.0%)  79.7630 (
>> 5.0%)  Combine redundant instructions
>>  55.6393 (  3.6%)   0.3116 (  0.8%)  55.9509 (  3.5%)  55.9187 (
>> 3.5%)  Combine redundant instructions
>>  51.8663 (  3.3%)   1.4090 (  3.7%)  53.2754 (  3.3%)  53.2684 (
>> 3.3%)  Greedy Register Allocator
>>  52.5721 (  3.4%)   0.3021 (  0.8%)  52.8743 (  3.3%)  52.8416 (
>> 3.3%)  Combine redundant instructions
>>  49.0593 (  3.2%)   0.6101 (  1.6%)  49.6694 (  3.1%)  49.5904 (
>> 3.1%)  Loop Strength Reduction
>>  41.2602 (  2.7%)   0.9608 (  2.5%)  42.2209 (  2.7%)  42.1122 (
>> 2.6%)  Induction Variable Simplification
>>  38.1438 (  2.5%)   0.3486 (  0.9%)  38.4923 (  2.4%)  38.4603 (
>> 2.4%)  Combine redundant instructions
>>
>> so, llvm is around 20% slower than it used to be.
>>
>> For our internal codebase the situation seems slightly worse:
>>
>> `game7`
>>
>> June 2nd:
>>
>> Total Execution Time: 464.3920 seconds (463.8986 wall clock)
>>
>>  88.0204 ( 20.3%)   6.0310 ( 20.0%)  94.0514 ( 20.3%)  94.0473 (
>> 20.3%)  X86 DAG->DAG Instruction Selection
>>  27.4382 (  6.3%)  16.2437 ( 53.9%)  43.6819 (  9.4%)  43.6823 (
>> 9.4%)  X86 Assembly / Object Emitter
>>  34.9581 (  8.1%)   0.5274 (  1.8%)  35.4855 (  7.6%)  35.4679 (
>> 7.6%)  Function Integration/Inlining
>>  27.8556 (  6.4%)   0.3419 (  1.1%)  28.1975 (  6.1%)  28.1824 (
>> 6.1%)  Global Value Numbering
>>  22.1479 (  5.1%)   0.2258 (  0.7%)  22.3737 (  4.8%)  22.3593 (
>> 4.8%)  Combine redundant instructions
>>  19.2346 (  4.4%)   0.3639 (  1.2%)  19.5985 (  4.2%)  19.5870 (
>> 4.2%)  Post RA top-down list latency scheduler
>>  15.8085 (  3.6%)   0.2675 (  0.9%)  16.0760 (  3.5%)  16.0614 (
>> 3.5%)  Combine redundant instructions
>>
>> Dec 16th:
>>
>> Total Execution Time: 861.0898 seconds (860.5808 wall clock)
>>
>>  135.7207 ( 15.7%)   0.2484 (  0.8%)  135.9692 ( 15.2%)  135.9531 (
>> 15.2%)  Combine redundant instructions
>>  103.6609 ( 12.0%)   0.4566 (  1.4%)  104.1175 ( 11.7%)  104.1014 (
>> 11.7%)  Combine redundant instructions
>>  97.1083 ( 11.3%)   6.9183 ( 21.8%)  104.0266 ( 11.6%)  104.0181 (
>> 11.6%)  X86 DAG->DAG Instruction Selection
>>  72.6125 (  8.4%)   0.1701 (  0.5%)  72.7826 (  8.1%)  72.7678 (
>> 8.1%)  Combine redundant instructions
>>  69.2144 (  8.0%)   0.6060 (  1.9%)  69.8204 (  7.8%)  69.8007 (
>> 7.8%)  Function Integration/Inlining
>>  60.7837 (  7.1%)   0.3783 (  1.2%)  61.1620 (  6.8%)  61.1455 (
>> 6.8%)  Global Value Numbering
>>  56.5650 (  6.6%)   0.1980 (  0.6%)  56.7630 (  6.4%)  56.7476 (
>> 6.4%)  Combine redundant instructions
>>
>> so, using LTO, lld takes 2x to build what it used to take (and all the
>> extra time seems spent in the optimizer).
>>
>> As an (extra) experiment, I decided to take the unoptimized output of
>> game7 (via lld -save-temps) and pass to -opt -O2. That shows another
>> significant regression (with different characteristics).
>>
>> June 2nd:
>> time opt -O2
>> real    6m23.016s
>> user   6m20.900s
>> sys     0m2.113s
>>
>> 35.9071 ( 10.0%)   0.7996 ( 10.9%)  36.7066 ( 10.0%)  36.6900 ( 10.1%)
>> Function Integration/Inlining
>> 33.4045 (  9.3%)   0.4053 (  5.5%)  33.8098 (  9.3%)  33.7919 (  9.3%)
>> Global Value Numbering
>> 27.1053 (  7.6%)   0.5940 (  8.1%)  27.6993 (  7.6%)  27.6995 (  7.6%)
>> Bitcode Writer
>> 25.6492 (  7.2%)   0.2491 (  3.4%)  25.8984 (  7.1%)  25.8805 (  7.1%)
>> Combine redundant instructions
>> 19.2686 (  5.4%)   0.2956 (  4.0%)  19.5642 (  5.4%)  19.5471 (  5.4%)
>> Combine redundant instructions
>> 18.6697 (  5.2%)   0.2625 (  3.6%)  18.9323 (  5.2%)  18.9148 (  5.2%)
>> Combine redundant instructions
>> 16.1294 (  4.5%)   0.2320 (  3.2%)  16.3614 (  4.5%)  16.3434 (  4.5%)
>> Combine redundant instructions
>> 13.5476 (  3.8%)   0.3945 (  5.4%)  13.9421 (  3.8%)  13.9295 (  3.8%)
>> Combine redundant instructions
>> 13.1746 (  3.7%)   0.1767 (  2.4%)  13.3512 (  3.7%)  13.3405 (  3.7%)
>> Combine redundant instructions
>>
>> Dec 16th:
>>
>> real    20m10.734s
>> user    20m8.523s
>> sys     0m2.197s
>>
>>  208.8113 ( 17.6%)   0.1703 (  1.9%)  208.9815 ( 17.5%)  208.9698 (
>> 17.5%)  Value Propagation
>>  179.6863 ( 15.2%)   0.1215 (  1.3%)  179.8077 ( 15.1%)  179.7974 (
>> 15.1%)  Value Propagation
>>  92.0158 (  7.8%)   0.2674 (  3.0%)  92.2832 (  7.7%)  92.2613 (
>> 7.7%)  Combine redundant instructions
>>  72.3330 (  6.1%)   0.6026 (  6.7%)  72.9356 (  6.1%)  72.9210 (
>> 6.1%)  Combine redundant instructions
>>  72.2505 (  6.1%)   0.2167 (  2.4%)  72.4672 (  6.1%)  72.4539 (
>> 6.1%)  Combine redundant instructions
>>  66.6765 (  5.6%)   0.3482 (  3.9%)  67.0247 (  5.6%)  67.0040 (
>> 5.6%)  Combine redundant instructions
>>  65.5029 (  5.5%)   0.4092 (  4.5%)  65.9121 (  5.5%)  65.8913 (
>> 5.5%)  Combine redundant instructions
>>  61.8355 (  5.2%)   0.8150 (  9.0%)  62.6505 (  5.2%)  62.6315 (
>> 5.2%)  Function Integration/Inlining
>>  54.9184 (  4.6%)   0.3359 (  3.7%)  55.2543 (  4.6%)  55.2332 (
>> 4.6%)  Combine redundant instructions
>>  50.2597 (  4.2%)   0.2187 (  2.4%)  50.4784 (  4.2%)  50.4654 (
>> 4.2%)  Combine redundant instructions
>>  47.2597 (  4.0%)   0.3719 (  4.1%)  47.6316 (  4.0%)  47.6105 (
>> 4.0%)  Global Value Numbering
>>
>> I don't have an infrastructure to measure the runtime performance
>> benefits/regression of clang, but I have for `game7`.
>> I wasn't able to notice any fundamental speedup (at least, not
>> something that justifies a 2x build-time).
>>
>> tl;dr:
>> There are quite a few things to notice:
>> 1) GVN used to be the top pass in the middle-end, in some cases, and
>> pretty much always in the top-3. This is not the case anymore, but
>> it's still a pass where we spend a lot of time. This is being worked
>> on by Daniel Berlin and me) https://reviews.llvm.org/D26224 so there's
>> some hope that will be sorted out (or at least there's a plan for it).
>> 2) For clang, we spend 35% more time inside instcombine, and for game7
>> instcombine seems to largely dominate the amount of time we spend
>> optimizing IR. I tried to bisect (which is not easy considering the
>> test takes a long time to run), but I wasn't able to identify a single
>> point in time responsible for the regression.
>
> An efficient way to bisect this is to:
>
> 1) dump the IR right before instcombine, and then run only opt -instcombine and confirm the regression shows up.
> 2) Then reduce the input: you should be able to single out a single function ultimately. (Maybe with bugpoint or with -opt-bisect-limit)
> 3) With a single function that shows the regression, it should be fairly easy to plot the time to run opt -inst-combine for almost every revision between June and now.
>

I tried 1) and I'm able to reproduce the increase in compile time. 2)
is on my todolist. I plan to use (and I can see how you can use)
bugpoint or delta (with `ulimit`), but it's not entirely clear to me
how to reduce using -opt-bisect-limit. As far as I know that just runs
passes up to a given point of the pipeline, while here the regression
shows up also with a single pass, i.e. opt -instcombine. Can you
please elaborate?

-- 
Davide

"There are no solved problems; there are only problems that are more
or less solved" -- Henri Poincare


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