regex-dna benchmark ≈50MB N=5,000,000

Each chart bar shows how many times more Code, one ↓ regex-dna 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 JRuby 90.4280.392,222,052308  38% 5% 60% 11%
1.0Ruby 48.3748.39346,140308  0% 100% 0% 0%
1.1Ruby JRuby #5 45.2639.491,004,576343  11% 59% 5% 41%
1.1Ruby #5 29.3429.35154,896343  0% 100% 0% 0%
1.3F# Mono #2 67.9167.93899,772413  1% 95% 4% 2%
1.4Ruby JRuby #2 58.2821.452,151,328417  65% 63% 63% 82%
1.4Ruby #2 33.8433.86389,432417  37% 15% 29% 21%
1.4Python 3 #5 23.5623.58326,816424  1% 0% 100% 0%
1.4Perl #4 62.2662.29189,296440  0% 0% 0% 100%
1.4Ruby #6 25.3225.33165,064442  0% 100% 0% 0%
1.4Ruby JRuby #6 46.4640.881,002,964442  22% 25% 43% 25%
1.4Hack #2 27.5427.56281,292446  1% 100% 0% 1%
1.5PHP #2 34.1934.22216,440449  92% 0% 8% 0%
1.5Hack #3 27.3827.41288,600456  1% 100% 0% 1%
1.5PHP #3 26.3226.34208,852459  80% 0% 0% 21%
1.6Python 3 22.9810.42269,120478  40% 48% 83% 55%
1.6Ruby #3 34.1615.00291,124501  42% 41% 91% 54%
1.6Ruby JRuby #3 58.6921.732,059,328501  72% 66% 60% 73%
1.6Ruby JRuby #7 51.5317.56787,708507  76% 75% 66% 77%
1.6Ruby #7 29.9110.97217,824507  60% 64% 94% 57%
1.7Perl #2 30.7511.21141,108527  49% 70% 76% 80%
1.7Racket 40.0740.07720,060527  0% 1% 100% 0%
1.7Ruby #8 28.7710.12118,504529  91% 60% 66% 68%
1.9C# Mono #2 66.3166.33289,808594  1% 14% 18% 68%
2.0Scala 39.6335.87742,396611  13% 21% 15% 63%
2.0OCaml #2 19.0419.06511,656615  43% 0% 0% 57%
2.0C# Mono 66.9867.01754,780624  40% 1% 60% 1%
2.1C# Mono #6 72.1528.63337,224638  52% 56% 67% 78%
2.1F# Mono 67.9021.24938,844639  76% 80% 81% 83%
2.1C++ g++ 5.235.23208,580648  2% 100% 1% 1%
2.1Go #7 85.8384.90462,776652  5% 1% 43% 54%
2.2Scala #2 34.3015.58862,756668  53% 59% 70% 39%
2.3C++ g++ #2 5.273.55198,920695  9% 49% 69% 26%
2.4Go 131.2342.83545,852733  77% 69% 69% 92%
2.5Rust 35.2611.95228,296763  65% 66% 87% 78%
2.5Go #8 85.5325.85541,836785  96% 78% 77% 81%
2.6Hack 13.1711.20267,120787  49% 76% 71% 51%
2.6PHP 12.0610.71210,752788  64% 57% 46% 79%
2.6Go #2 47.4016.27543,868789  86% 64% 64% 78%
2.7Hack #4 27.939.53150,480832  99% 66% 67% 62%
2.7PHP #4 26.249.60151,380832  52% 70% 57% 95%
2.7C++ g++ #3 26.2416.57182,520844  1% 0% 64% 94%
2.8F# Mono #3 65.1121.762,343,812870  71% 79% 75% 76%
3.0Java  #4 25.0423.61727,292921  11% 3% 4% 90%
3.0Java  #5 24.528.59707,744929  80% 64% 79% 64%
3.3OCaml #3 19.2510.81511,7161014  27% 26% 39% 87%
3.4OCaml #4 1.468.96264,7441050  84% 95% 85% 85%
3.4Erlang HiPE #6 182.8147.68337,0961058  92% 96% 99% 97%
3.4Erlang #6 179.8857.58301,5441058  99% 76% 65% 72%
3.6C gcc #2 30.0630.07124,8801099  1% 0% 100% 1%
4.2Java  #7 21.4921.19562,9481284  93% 1% 8% 1%
4.5Java  #8 20.9020.63566,2881377  4% 97% 1% 1%
4.9OCaml 19.2710.78511,7241502  88% 26% 26% 39%
4.9Haskell GHC #2 35.699.52250,0081518  93% 91% 96% 96%
5.0C gcc #4 23.377.80103,7521525  71% 66% 100% 64%
5.0Java  #2 47.7714.93569,9761534  80% 76% 80% 84%
5.5Scala #5 28.228.16422,9361704  96% 80% 87% 85%
5.7C++ g++ #4 12.644.2598,1601759  67% 75% 97% 60%
6.3Lisp SBCL #3 42.5120.18920,2761948  85% 43% 43% 41%
8.4C gcc 5.812.44305,4882579  60% 51% 80% 52%
11Ada 2005 GNAT #5 17.885.80123,8523492  77% 77% 87% 68%
12Ada 2005 GNAT #6 23.457.76111,1283740  65% 68% 97% 72%
Clojure #3 Failed710
Clojure #4 Failed707
Dart #2 Timed Out10 min648
Erlang Timed Out10 min622
Erlang HiPE Timed Out10 min622
Java  #6 Failed1410
Lisp SBCL Timed Out10 min591
Racket #2 Bad Output536
Ruby JRuby #8 Failed529
Scala #4 Failed723
Scala #3 Failed633
"wrong" (different) algorithm / less comparable programs
1.5Perl #6 4.454.46190,244477
1.8Perl #7 4.332.92140,044567
3.9Erlang HiPE #7 7.803.05387,6161198
3.9Erlang #7 8.613.59387,6321198
3.9Pascal Free Pascal 20.9720.99114,8521199
6.8Java  #3 8.283.01246,6042084
missing benchmark programs
Fortran Intel No program
Pascal Free Pascal No program

 regex-dna benchmark : Match DNA 8-mers and substitute nucleotides for IUB codes

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 for this 100KB input file (generated with the fasta program N = 10000) with this output file to check your program is correct before contributing.

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.

We use FASTA files generated by the fasta benchmark as input for this benchmark. Note: the file may include both lowercase and uppercase codes.

Each program should

Revised BSD license

  Home   Conclusions   License   Play