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 k-nucleotide benchmark ≈240MB N=25,000,000

Each chart bar shows how many times slower, one ↓ k-nucleotide 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
1.0Ada 2005 GNAT #2 21.9610.11253,4924865  24% 36% 100% 60%
1.1C++ g++ #3 23.447.22139,1361252  76% 76% 78% 97%
1.4Scala #2 30.2511.00209,6602080  74% 87% 54% 60%
1.4Rust 30.3730.39126,6962049  1% 0% 100% 0%
1.9C gcc #7 40.7214.77165,8002280  90% 46% 96% 45%
1.9Clojure #5 42.6516.70369,9642723  75% 73% 55% 54%
2.1Java  #3 45.3313.06923,0681630  81% 83% 85% 99%
2.1PHP 45.7940.06246,9521036  4% 90% 14% 7%
2.1Pascal Free Pascal #2 46.2246.24130,0682383  0% 100% 1% 1%
2.3Java  #2 49.7014.28909,1081602  85% 96% 81% 86%
2.4Go #5 52.7219.59260,0801268  96% 51% 82% 42%
2.4C gcc #6 53.4416.99163,7882439  64% 97% 61% 97%
2.5Java  #4 55.3854.37176,9761873  97% 6% 6% 2%
2.9F# Mono #4 64.4826.081,004,9361505  57% 92% 47% 53%
3.0F# Mono #3 65.7528.151,005,4401111  39% 86% 50% 59%
3.2Haskell GHC #2 70.5319.10260,1881965  91% 91% 91% 98%
3.2Fortran Intel #2 70.6828.99158,1242079  35% 42% 99% 68%
3.3Lisp SBCL #4 71.9271.99104,2082272  0% 1% 0% 100%
3.3Lisp SBCL #5 71.9372.01104,2242301  0% 1% 1% 100%
3.7Java  #5 81.2336.06178,6442211  86% 32% 85% 24%
4.4Ruby JRuby #4 97.4489.931,952,044449  58% 5% 14% 33%
4.8Clojure #6 106.3836.21984,5281737  83% 83% 70% 58%
4.9C# Mono #4 107.3434.65543,9201696  100% 71% 72% 68%
5.2Haskell GHC #3 113.8037.68496,0202749  59% 83% 61% 100%
5.2Clojure #7 114.4636.68985,7923030  84% 78% 60% 91%
5.3C# Mono 116.56116.60525,7361420  0% 99% 0% 1%
5.6Fortran Intel 122.78122.86166,9522238  92% 0% 8% 0%
5.8C# Mono #5 127.8241.28361,9962445  83% 73% 73% 79%
7.1Scala #6 156.4041.51473,5241380  95% 94% 94% 95%
7.5C# Mono #3 164.0057.33316,3441404  85% 95% 57% 50%
7.7Go #2 170.0654.60256,4401531  100% 65% 62% 90%
7.7Go 170.0958.59379,444980  81% 62% 57% 93%
7.8Lisp SBCL #3 171.44171.54355,4681284  0% 100% 0% 1%
7.8Lisp SBCL #2 171.83172.18355,4841277  99% 1% 1% 1%
8.1C# Mono #2 177.41177.45289,7641012  94% 1% 2% 5%
8.6Clojure #4 187.8564.51984,0121944  94% 66% 63% 70%
9.2Ruby #4 201.00201.08499,252449  0% 0% 0% 100%
10Racket 219.87220.011,419,712542  96% 0% 1% 4%
10Perl #2 223.14226.16708,152359  65% 0% 0% 34%
11Perl #4 234.9278.201,049,332472  81% 95% 65% 61%
11Perl 242.0769.891,774,668648  82% 88% 85% 92%
13Perl #3 280.1690.611,126,916507  95% 80% 70% 65%
14PHP #4 5 min87.70246,8841060  78% 94% 84% 88%
15F# Mono 5 min111.81626,276701  72% 77% 75% 74%
17Erlang HiPE #3 6 min137.89864,700932  99% 48% 49% 72%
20Haskell GHC 7 min111.20264,4361693  97% 96% 96% 97%
22Python 3 #8 8 min161.33364,488647  89% 60% 98% 56%
24Ruby JRuby #3 8 min176.561,194,036540  78% 68% 71% 87%
25Python 3 9 min9 min391,748487  1% 100% 0% 0%
28Ruby JRuby 10 min201.011,060,796637  67% 85% 86% 66%
36Ruby #2 13 min13 min156,256420  0% 99% 1% 0%
38Ruby 14 min257.66128,344637  68% 94% 100% 67%
40Ruby #3 14 min14 min161,372540  19% 31% 32% 20%
C++ g++ Make Error2106
Erlang HiPE Failed930
Erlang HiPE #2 Failed997
Lisp SBCL Bad Output847
OCaml #3 Failed1789
OCaml Failed870
OCaml #2 Failed1205
Racket #2 Bad Output842
Racket #4 Bad Output881
Ruby JRuby #2 Failed421
Scala #4 Failed1287
Scala Failed1625
"wrong" (different) algorithm / less comparable programs
0.4C++ g++ #5 9.072.9645,0123416
0.5Ada 2005 GNAT 11.345.04398,5606503
0.5C++ g++ #6 11.623.49132,9843415
0.6C gcc #4 13.333.76155,0002409
0.6Java  14.164.00183,2165211
0.7C gcc #8 16.1616.18125,9962040
2.2C# Mono #6 47.9317.32106,7881433
2.2C gcc #5 48.2714.80277,2202519
5.8Python 3 #2 126.3773.25351,796624
missing benchmark programs
Dart No program

 k-nucleotide benchmark : Hashtable update and k-nucleotide strings

diff program output for this 250KB input file (generated with the fasta program N = 25000) 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

In practice, less brute-force would be used to calculate k-nucleotide frequencies, for example Virus Classification using k-nucleotide Frequencies and A Fast Algorithm for the Exhaustive Analysis of 12-Nucleotide-Long DNA Sequences. Applications to Human Genomics (105KB pdf).

Revised BSD license

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