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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.

     sortsortsort
  ×   Program Source Code CPU secs Elapsed secs Memory KB Code B ≈ CPU Load
1.0OCaml #4 1.468.96264,7441050  84% 95% 85% 85%
3.9C++ g++ 5.615.62215,272648  1% 1% 1% 100%
3.9C++ g++ #2 5.643.90193,828695  11% 76% 35% 25%
4.0C gcc 5.862.52316,4522579  44% 69% 51% 71%
8.3PHP 12.0610.71210,752788  64% 57% 46% 79%
8.8C++ g++ #4 12.794.3894,8641759  84% 51% 58% 100%
9.0Hack 13.1711.20267,120787  49% 76% 71% 51%
12Ada 2005 GNAT #5 17.795.7098,7763492  74% 77% 93% 69%
13C gcc #4 18.626.1886,7681525  64% 65% 73% 100%
13Ada 2005 GNAT #6 18.716.18114,2323740  67% 72% 100% 65%
13OCaml #2 19.0419.06511,656615  43% 0% 0% 57%
13OCaml #3 19.2510.81511,7161014  27% 26% 39% 87%
13OCaml 19.2710.78511,7241502  88% 26% 26% 39%
15Java  #7 21.4921.19562,9481284  93% 1% 8% 1%
16Python 3 22.9810.42269,120478  40% 48% 83% 55%
16Python 3 #5 23.5623.58326,816424  1% 0% 100% 0%
16C gcc #2 23.6723.68124,7681099  0% 0% 100% 0%
17Java  #5 24.528.59707,744929  80% 64% 79% 64%
17Java  #4 25.0423.61727,292921  11% 3% 4% 90%
17Ruby #6 25.3225.33165,064442  0% 100% 0% 0%
18PHP #4 26.249.60151,380832  52% 70% 57% 95%
18PHP #3 26.3226.34208,852459  80% 0% 0% 21%
19C++ g++ #3 27.3017.33178,296844  64% 1% 0% 100%
19Hack #3 27.3827.41288,600456  1% 100% 0% 1%
19Hack #2 27.5427.56281,292446  1% 100% 0% 1%
19Hack #4 27.939.53150,480832  99% 66% 67% 62%
20Ruby #5 29.3429.35154,896343  0% 100% 0% 0%
21Perl #2 30.7511.21141,108527  49% 70% 76% 80%
23Ruby #2 33.8433.86389,432417  37% 15% 29% 21%
23Ruby #3 34.1615.00291,124501  42% 41% 91% 54%
23PHP #2 34.1934.22216,440449  92% 0% 8% 0%
24Scala #2 34.3015.58862,756668  53% 59% 70% 39%
25Haskell GHC #2 35.699.52250,0081518  93% 91% 96% 96%
27Clojure #4 39.2012.85636,492707  73% 85% 73% 76%
27Scala 39.6335.87742,396611  13% 21% 15% 63%
28Racket 40.0740.07720,060527  0% 1% 100% 0%
28Lisp SBCL #3 41.0219.36929,6361948  91% 38% 43% 41%
31Ruby JRuby #5 45.2639.491,004,576343  11% 59% 5% 41%
32Ruby JRuby #6 46.4640.881,002,964442  22% 25% 43% 25%
33Java  #2 47.7714.93569,9761534  80% 76% 80% 84%
33Ruby 48.3748.39346,140308  0% 100% 0% 0%
40Ruby JRuby #2 58.2821.452,151,328417  65% 63% 63% 82%
40Ruby JRuby #3 58.6921.732,059,328501  72% 66% 60% 73%
43Perl #4 62.2662.29189,296440  0% 0% 0% 100%
45Go #8 65.3119.80579,908785  88% 88% 77% 77%
45Go #7 65.6664.98442,132652  30% 1% 70% 1%
50F# Mono 73.2621.64917,272639  82% 89% 86% 82%
51F# Mono #3 74.6324.382,232,348870  76% 77% 71% 83%
52C# Mono #2 75.0275.04263,052594  0% 16% 69% 16%
53C# Mono 76.4676.51601,564624  100% 0% 1% 1%
53C# Mono #6 76.7029.96282,620638  60% 75% 55% 67%
53F# Mono #2 77.8177.86837,676413  100% 1% 1% 1%
62Ruby JRuby 90.4280.392,222,052308  38% 5% 60% 11%
90Go 130.9442.58684,440733  72% 71% 70% 95%
124Erlang #6 179.8857.58301,5441058  99% 76% 65% 72%
126Erlang HiPE #6 182.8147.68337,0961058  92% 96% 99% 97%
Clojure #3 Failed710
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
3.0Perl #7 4.332.92140,044567
3.1Perl #6 4.454.46190,244477
5.4Erlang HiPE #7 7.803.05387,6161198
5.7Java  #3 8.283.01246,6042084
5.9Erlang #7 8.613.59387,6321198
13Pascal 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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