thread-ring benchmark N=50,000,000

Each chart bar shows how many times more Code, one ↓ thread-ring program used, compared to the program that used least Code.

These are not the only programs that could be written. These are not the only compilers and interpreters. These are not the only programming languages.

Column × shows how many times more each program used compared to the benchmark program that used least.

    sortsortsort 
  ×   Program Source Code CPU secs Elapsed secs Memory KB Code B ≈ CPU Load
1.0Ruby #2 26 min19 min31,308215  29% 29% 30% 30%
1.2Racket 110.38110.44116,232262  1% 0% 100% 1%
1.3Erlang HiPE 41.0541.05801,964273  97% 1% 3% 2%
1.3OCaml 11 min10 min5,040282  27% 26% 27% 27%
1.3Python 3 #2 8 min7 min9,848288  29% 27% 21% 22%
1.4OCaml #3 6 min5 min5,488296  23% 22% 21% 23%
1.4Clojure #2 121.56108.63403,420299  32% 32% 23% 22%
1.4Haskell GHC 11.729.467,948306  9% 9% 100% 9%
1.5Ruby 8 min7 min31,404331  28% 22% 23% 28%
1.6Ruby JRuby 11 min9 min802,808342  30% 27% 26% 26%
1.6Clojure 123.94110.49403,028348  32% 32% 24% 23%
1.6OCaml #2 6 min5 min1,012350  27% 18% 19% 26%
1.6Perl 37 min27 min324,236353  35% 34% 32% 32%
1.9Go #5 14.6614.662,080405  0% 1% 1% 100%
2.2Rust 9 min7 min65,604473  27% 25% 25% 27%
2.2Java  #7 8 min6 min52,740473  30% 30% 21% 21%
2.2C# Mono 15 min7 min55,940476  45% 43% 40% 44%
2.3C gcc 6 min5 min7,412487  21% 21% 24% 23%
2.3Perl #3 12 min10 min732,004489  30% 25% 25% 29%
2.5Java  #3 8 min6 min389,172530  24% 24% 28% 27%
2.6Ada 2005 GNAT #2 10 min6 min20,076560  29% 29% 30% 30%
2.7Lisp SBCL #2 8 min6 min384,736571  36% 18% 18% 35%
2.7C++ g++ #4 8 min153.2110,720572  83% 83% 82% 82%
2.7C gcc #2 6 min5 min5,404575  21% 21% 25% 25%
2.7C++ g++ #2 6 min5 min7,460588  23% 23% 21% 20%
2.7C# Mono #2 1h 13 min27 min88,748591  68% 66% 65% 66%
2.8Ada 2005 GNAT 13 min7 min22,572602  43% 42% 38% 37%
2.9Lisp SBCL 6 min5 min398,796618  25% 25% 26% 25%
3.0C++ g++ 7 min5 min6,560636  24% 24% 29% 28%
3.0C++ g++ #5 8 min149.1610,816652  83% 83% 81% 81%
3.4Ada 2005 GNAT #3 8 min6 min19,788727  24% 24% 24% 23%
3.5C gcc #4 6 min5 min9,576761  21% 20% 26% 25%
4.3C gcc #3 163.98164.079,676916  100% 1% 1% 1%
4.5Ada 2005 GNAT #4 7 min6 min22,712960  15% 15% 33% 32%
4.7Ada 2005 GNAT #6 202.4151.8819,8521015  98% 98% 98% 98%
Erlang Failed273
F# Mono #3 Failed329
F# Mono #2 Failed555
Pascal Free Pascal Make Error523
Ruby JRuby #2 Failed228
Scala Failed296
"wrong" (different) algorithm / less comparable programs
 F# Mono #4 Failed  267
1.3Python 3 #3 10.1610.175,608270
2.0Java  #5 14.2813.08292,264432
2.5Java  #6 1.010.94204,164543
3.2Java  #2 4.974.88287,356693
3.4C++ g++ #3 8.688.6910,964726
4.2Java  #4 28.5526.85289,336894
6.9Ada 2005 GNAT #5 0.510.4920,2961476
missing benchmark programs
Dart No program
Fortran Intel No program
Hack No program
PHP No program

 thread-ring benchmark : Switch from thread to thread passing one token

You can write your own program for this task and contribute to the benchmarks game by following these general instructions.

More specifically:

diff program output N = 1000 with this output file to check your program is correct before contributing.

Each program should create and keep alive 503 pre-emptive threads, explicity or implicitly linked in a ring, and pass a token between one thread and the next thread at least N times.

We are trying to show the performance of various programming language implementations - so we ask that contributed programs not only give the correct result, but also use the same algorithm to calculate that result.

Each program should

Similar benchmarks are described in Performance Measurements of Threads in Java and Processes in Erlang, 1998; and A Benchmark Test for BCPL Style Coroutines, 2004. (Note: 'Benchmarks that may seem to be concurrent are often sequential. The estone benchmark, for instance, is entirely sequential. So is also the most common implementation of the "ring benchmark'; usually one process is active, while the others wait in a receive statement.') For some language implementations increasing the number of threads quickly results in Death by Concurrency.

Programs may use pre-emptive kernel threads or pre-emptive lightweight threads; but programs that use non pre-emptive threads (coroutines, cooperative threads) and any programs that use custom schedulers, will be listed as interesting alternative implementations. Briefly say what concurrency technique is used in the program header comment.

Revised BSD license

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