[webkit-dev] [jsc-dev] Proposal: Using LLInt Asm in major architectures even if JIT is disabled
Saam Barati
sbarati at apple.com
Wed Sep 19 08:54:48 PDT 2018
To elaborate: I ran this same experiment before. And I forgot to turn off the RegExp JIT and got results similar to what you got. Once I turned off the RegExp JIT, I saw no perf difference.
- Saam
> On Sep 19, 2018, at 8:53 AM, Saam Barati <sbarati at apple.com> wrote:
>
> Did you turn off the RegExp JIT?
>
> - Saam
>
>> On Sep 18, 2018, at 11:23 PM, Yusuke Suzuki <yusukesuzuki at slowstart.org> wrote:
>>
>> Hi WebKittens!
>>
>> Recently, node-jsc is announced[1]. When I read the documents of that project,
>> I found that they use LLInt ASM interpreter instead of CLoop in non-JIT environment.
>> So I had one question in my mind: How fast the LLInt ASM interpreter when comparing to CLoop?
>>
>> I've set up two builds. One is CLoop build (-DENABLE_JIT=OFF) and another is JIT build JSC with `JSC_useJIT=false`.
>> And I've ran kraken benchmarks with these two builds in x64 Linux machine. The results are the followings.
>>
>> Benchmark report for Kraken on sakura-trick.
>>
>> VMs tested:
>> "baseline" at /home/yusukesuzuki/dev/WebKit/WebKitBuild/nojit/Release/bin/jsc
>> "patched" at /home/yusukesuzuki/dev/WebKit/WebKitBuild/nojit-llint/Release/bin/jsc
>>
>> Collected 10 samples per benchmark/VM, with 10 VM invocations per benchmark. Emitted a call to gc() between sample
>> measurements. Used 1 benchmark iteration per VM invocation for warm-up. Used the jsc-specific preciseTime()
>> function to get microsecond-level timing. Reporting benchmark execution times with 95% confidence intervals in
>> milliseconds.
>>
>> baseline patched
>>
>> ai-astar 3619.974+-57.095 ^ 2014.835+-59.016 ^ definitely 1.7967x faster
>> audio-beat-detection 1762.085+-24.853 ^ 1030.902+-19.743 ^ definitely 1.7093x faster
>> audio-dft 1822.426+-28.704 ^ 909.262+-16.640 ^ definitely 2.0043x faster
>> audio-fft 1651.070+-9.994 ^ 865.203+-7.912 ^ definitely 1.9083x faster
>> audio-oscillator 1853.697+-26.539 ^ 992.406+-12.811 ^ definitely 1.8679x faster
>> imaging-darkroom 2118.737+-23.219 ^ 1303.729+-8.071 ^ definitely 1.6251x faster
>> imaging-desaturate 3133.654+-28.545 ^ 1759.738+-18.182 ^ definitely 1.7808x faster
>> imaging-gaussian-blur 16321.090+-154.893 ^ 7228.017+-58.508 ^ definitely 2.2580x faster
>> json-parse-financial 57.256+-2.876 56.101+-4.265 might be 1.0206x faster
>> json-stringify-tinderbox 38.470+-2.788 ? 38.771+-0.935 ?
>> stanford-crypto-aes 851.341+-7.738 ^ 485.438+-13.904 ^ definitely 1.7538x faster
>> stanford-crypto-ccm 556.133+-6.606 ^ 264.161+-3.970 ^ definitely 2.1053x faster
>> stanford-crypto-pbkdf2 1945.718+-15.968 ^ 1075.013+-13.337 ^ definitely 1.8099x faster
>> stanford-crypto-sha256-iterative 623.203+-7.604 ^ 349.782+-12.810 ^ definitely 1.7817x faster
>>
>> <arithmetic> 2596.775+-14.857 ^ 1312.383+-8.840 ^ definitely 1.9787x faster
>>
>> Surprisingly, LLInt ASM interpreter is significantly faster than CLoop. I expected it would be fast, but it would show around 10% performance win.
>> But the reality is that it is 2x faster. It is too much number to me to consider enabling LLInt ASM interpreter for non-JIT build configuration.
>> As a bonus, LLInt ASM interpreter offers sampling profiler support even in non-JIT environment.
>>
>> So my proposal is, how about enabling LLInt ASM interpreter in non-JIT configuration environment in major architectures (x64 and ARM64)?
>>
>> Best regards,
>> Yusuke Suzuki
>>
>> [1]: https://lists.webkit.org/pipermail/webkit-dev/2018-September/030140.html
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