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Bug #18733

open

Ruby GC problems cause performance issue with Ractor

Added by jakit (Jakit Liang) about 2 years ago. Updated about 2 years ago.

Status:
Open
Assignee:
-
Target version:
-
ruby -v:
ruby 3.1.1p18 (2022-02-18 revision 53f5fc4236) [arm64-darwin21]
[ruby-core:108246]

Description

Code:

require 'benchmark'

def fib(n)
  return n if [0,1].include?(n)
  fib(n-1) + fib(n-2)
end

tp = []

puts Benchmark.measure {
  8.times do
    tp << fork { fib(37) }
  end

  tp.each { |t| Process.wait(t) }
}

puts Benchmark.measure {
  8.times.map {
    Ractor.new { fib(37) }
  }.each{ |r| r.take }
}

Result:

A B
fork 0.000264 0.003439 87.181198 ( 11.211349)
Ractor 80.292916 15.062559 95.355475 ( 39.569527)

And I found that here's the problem showing on the ActiveMonitor.app:

ruby_bug_with_m1

As you can see, the process of ruby is always using all Performance Cores on my Apple M1 Mac.

But there's no one of the Efficiency Cores was in used by ruby Ractor.

Updated by ko1 (Koichi Sasada) about 2 years ago

Thank you for your report.

On my WSL2 environment with 12 cores, ruby 3.2.0dev (2022-04-15T04:24:48Z master 92614111c0) [x86_64-linux] shows worse results.

  0.003304   0.000000 102.404055 ( 13.083221)
296.139861 262.090810 558.230671 (278.664518)

However, I modified it with

def fib(n)
  return n if n < 2 # `[0,1].include?(n)` generates an Array object
  fib(n-1) + fib(n-2)
end

it shows

  0.000000   0.003886  31.579734 (  4.092415)
 31.779964   0.003833  31.783797 (  4.114323)

maybe because of object allocation (GC) causes contention and the system determines it should not use performance cores.
(BTW I can't see figure "ruby_bug_with_m1")

The conclusion is, the reason of this issue is the implementation of object allocation (GC).

Actions #2

Updated by jakit (Jakit Liang) about 2 years ago

  • Subject changed from Ruby always using Performance Cores with Apple M1 to Ruby GC problems cause performance issue with Ractor

Updated by jakit (Jakit Liang) about 2 years ago

Thanks much! :)

And I change the topic to GC problem instead problem of m1.

Hope the memory management will get improvement. ;)

Updated by Mark24 (Yang Zhang) about 2 years ago

One problem I found was that when I ran the same script on different Ruby versions, there was performance gap between them.

require 'benchmark'

def fib(n)
  return n if n < 2
  fib(n-1) + fib(n-2)
end

puts Benchmark.measure {
  8.times.map {
    Ractor.new{ fib(38) }
  }.each{|r| r.take}
}

# Device Mac mini (M1, 2020) 

# ruby 3.1.0p0 (2021-12-25 revision fb4df44d16) [arm64-darwin21]
# 33.873394   0.143453  34.016847 (  4.727655)
# 33.749938   0.153633  33.903571 (  4.749335)
# 34.343544   0.168297  34.511841 (  4.846679)
# 33.873749   0.148050  34.021799 (  4.753797)
# 34.144618   0.177153  34.321771 (  4.861416)

# time avg: 4.7877764

# ruby 3.1.1p18 (2022-02-18 revision 53f5fc4236) [arm64-darwin21]
# 43.994316   0.224457  44.218773 (  6.309634)
# 44.265488   0.192328  44.457816 (  6.124617)
# 44.194585   0.215987  44.410572 (  6.195150)
# 43.846945   0.219032  44.065977 (  6.259834)
# 44.076493   0.213183  44.289676 (  6.234526)

# time avg: 6.224752199999999

# ruby 3.1.2p20 (2022-04-12 revision 4491bb740a) [arm64-darwin21]
# 43.657412   0.241501  43.898913 (  6.385710)
# 43.986863   0.230514  44.217377 (  6.370350)
# 43.737608   0.233663  43.971271 (  6.370617)
# 44.182188   0.210544  44.392732 (  6.197169)
# 43.907983   0.239740  44.147723 (  6.278601) 

# time avg: 6.3204894000000005

Apple M1 CPU 8 cores all work.

5 times avg used time

name avg times compare
ruby310 4.7877764 100%
ruby311 6.2247522 130%
ruby312 6.3204894 132%

Maybe this could some help.

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