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 regex-dna benchmark ≈50MB N=5,000,000

Each chart bar shows how many times slower, one ↓ regex-dna program was, compared to the fastest program.

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.

    sort sortsort
  ×   Program Source Code CPU secs Elapsed secs Memory KB Code B ≈ CPU Load
1.0C gcc 5.812.44305,4882579  60% 51% 80% 52%
1.5C++ g++ #2 5.273.55198,920695  9% 49% 69% 26%
1.7C++ g++ #4 12.644.2598,1601759  67% 75% 97% 60%
2.1C++ g++ 5.235.23208,580648  2% 100% 1% 1%
2.3Ada 2005 GNAT #5 17.795.7098,7763492  74% 77% 93% 69%
2.5Ada 2005 GNAT #6 18.716.18114,2323740  67% 72% 100% 65%
3.2C gcc #4 23.377.80103,7521525  71% 66% 100% 64%
3.5Java  #5 24.528.59707,744929  80% 64% 79% 64%
3.7OCaml #4 1.468.96264,7441050  84% 95% 85% 85%
3.9Haskell GHC #2 35.699.52250,0081518  93% 91% 96% 96%
3.9Hack #4 27.939.53150,480832  99% 66% 67% 62%
3.9PHP #4 26.249.60151,380832  52% 70% 57% 95%
4.3Python 3 22.9810.42269,120478  40% 48% 83% 55%
4.4PHP 12.0610.71210,752788  64% 57% 46% 79%
4.4OCaml 19.2710.78511,7241502  88% 26% 26% 39%
4.4OCaml #3 19.2510.81511,7161014  27% 26% 39% 87%
4.6Hack 13.1711.20267,120787  49% 76% 71% 51%
4.6Perl #2 30.7511.21141,108527  49% 70% 76% 80%
6.1Java  #2 47.7714.93569,9761534  80% 76% 80% 84%
6.1Ruby #3 34.1615.00291,124501  42% 41% 91% 54%
6.4Scala #2 34.3015.58862,756668  53% 59% 70% 39%
6.8C++ g++ #3 26.2416.57182,520844  1% 0% 64% 94%
7.8OCaml #2 19.0419.06511,656615  43% 0% 0% 57%
7.9Lisp SBCL #3 41.0219.36929,6361948  91% 38% 43% 41%
8.1Go #8 65.3119.80579,908785  88% 88% 77% 77%
8.7Java  #7 21.4921.19562,9481284  93% 1% 8% 1%
8.8Ruby JRuby #2 58.2821.452,151,328417  65% 63% 63% 82%
8.9F# Mono 73.2621.64917,272639  82% 89% 86% 82%
8.9Ruby JRuby #3 58.6921.732,059,328501  72% 66% 60% 73%
9.7Python 3 #5 23.5623.58326,816424  1% 0% 100% 0%
9.7Java  #4 25.0423.61727,292921  11% 3% 4% 90%
10F# Mono #3 74.6324.382,232,348870  76% 77% 71% 83%
10Ruby #6 25.3225.33165,064442  0% 100% 0% 0%
11PHP #3 26.3226.34208,852459  80% 0% 0% 21%
11Hack #3 27.3827.41288,600456  1% 100% 0% 1%
11Hack #2 27.5427.56281,292446  1% 100% 0% 1%
12Ruby #5 29.3429.35154,896343  0% 100% 0% 0%
12C# Mono #6 76.7029.96282,620638  60% 75% 55% 67%
12C gcc #2 30.0630.07124,8801099  1% 0% 100% 1%
14Ruby #2 33.8433.86389,432417  37% 15% 29% 21%
14PHP #2 34.1934.22216,440449  92% 0% 8% 0%
15Scala 39.6335.87742,396611  13% 21% 15% 63%
16Ruby JRuby #5 45.2639.491,004,576343  11% 59% 5% 41%
16Racket 40.0740.07720,060527  0% 1% 100% 0%
17Ruby JRuby #6 46.4640.881,002,964442  22% 25% 43% 25%
17Go 130.9442.58684,440733  72% 71% 70% 95%
20Erlang HiPE #6 182.8147.68337,0961058  92% 96% 99% 97%
20Ruby 48.3748.39346,140308  0% 100% 0% 0%
24Erlang #6 179.8857.58301,5441058  99% 76% 65% 72%
26Perl #4 62.2662.29189,296440  0% 0% 0% 100%
27Go #7 65.6664.98442,132652  30% 1% 70% 1%
31C# Mono #2 75.0275.04263,052594  0% 16% 69% 16%
31C# Mono 76.4676.51601,564624  100% 0% 1% 1%
32F# Mono #2 77.8177.86837,676413  100% 1% 1% 1%
33Ruby JRuby 90.4280.392,222,052308  38% 5% 60% 11%
Clojure #3 Failed710
Clojure #4 Failed707
Dart #2 Timed Out5 min648
Dart Failed632
Erlang Timed Out10 min622
Erlang HiPE Timed Out10 min622
Java  #6 Failed1410
Lisp SBCL Bad Output591
Racket #2 Bad Output536
Scala #4 Failed723
Scala #3 Failed633
"wrong" (different) algorithm / less comparable programs
1.2Perl #7 4.332.92140,044567
1.2Java  #3 8.283.01246,6042084
1.2Erlang HiPE #7 7.803.05387,6161198
1.5Erlang #7 8.613.59387,6321198
1.8Perl #6 4.454.46190,244477
8.0Pascal Free Pascal 19.5519.56110,5641199
missing benchmark programs
Fortran Intel No program
Pascal Free Pascal No program
Rust No program

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

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

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