reverse-complement benchmark ≈240MB N=25,000,000

Each chart bar shows how many times more Code, one ↓ reverse-complement 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 #2 25.2725.301,189,288255  0% 1% 0% 100%
1.0Ruby #2 10.6310.64127,856255  0% 1% 0% 100%
1.0PHP #2 7.867.88443,500262  0% 0% 0% 100%
1.1Perl #3 3.023.03374,264284  1% 0% 0% 100%
1.2Python 3 #3 24.5924.62911,484295  0% 1% 0% 100%
1.2PHP 7.967.98369,064297  0% 1% 1% 100%
1.3Python 3 #4 6.546.56781,140325  1% 0% 1% 100%
1.5JavaScript V8 24.7824.81196,068390  0% 1% 0% 100%
1.5OCaml #2 4.504.51171,972394  0% 0% 0% 100%
1.8JavaScript V8 #2 21.6921.71393,564456  0% 1% 1% 100%
2.0JavaScript V8 #3 14.3514.36306,736498  0% 0% 1% 100%
2.0Scala #4 2.462.47407,288501  0% 1% 1% 100%
2.1Go #3 1.781.79163,228543  2% 1% 1% 100%
2.1Go #2 1.971.98163,384546  1% 2% 0% 100%
2.1Racket 13.5513.57506,856547  0% 1% 1% 100%
2.2Dart #3 22.6222.641,125,080551  1% 0% 0% 100%
2.2Dart #2 33.1533.171,134,688555  1% 1% 0% 100%
2.2Lua 22.4922.51724,576555  0% 0% 0% 100%
2.2C++ g++ 3.713.72246,924571  1% 1% 1% 100%
2.3Java  #4 3.113.12476,804592  1% 1% 0% 100%
2.4Erlang HiPE #3 50.9350.99861,592624  0% 0% 0% 100%
2.5C++ g++ #5 25.1825.19125,128646  0% 0% 1% 100%
2.8C gcc #4 1.301.30125,088704  1% 1% 0% 100%
2.9C CINT #2 77.3377.34127,432727  0% 0% 0% 100%
2.9Clojure #5 6.546.55561,320727  0% 1% 1% 100%
2.9C gcc #2 0.740.75250,408741  1% 1% 0% 100%
2.9Java  #6 1.961.97513,448745  1% 2% 0% 100%
2.9Pascal Free Pascal #2 2.062.06124,812751  1% 1% 0% 100%
3.0Smalltalk VisualWorks 27.3927.42373,712754  0% 1% 1% 100%
3.0Scala #8 2.122.14453,280761  1% 0% 1% 100%
3.0Fortran Intel #2 8.518.53176,104772  0% 1% 1% 100%
3.1JavaScript V8 #4 7.567.57299,788787  0% 1% 1% 100%
3.2C++ g++ #3 1.311.32124,956810  2% 2% 1% 100%
3.4C# Mono #3 9.149.15256,696863  0% 1% 1% 100%
3.5Ada 2005 GNAT 4.024.03125,448885  2% 0% 1% 100%
3.5Lisp SBCL 2.812.82257,248896  1% 1% 1% 100%
3.6Haskell GHC #2 2.602.60580,368919  0% 3% 0% 100%
3.7Scala #7 4.804.82797,196949  0% 1% 1% 100%
3.9Clojure #4 7.977.98446,216997  1% 0% 1% 100%
3.9Haskell GHC #3 1.221.22125,892999  0% 2% 2% 100%
4.0Fortran Intel 1.031.04246,4641013  0% 0% 3% 100%
4.0Racket #2 4.504.51171,8001026  1% 1% 1% 100%
4.1Clojure 6.486.49406,9521044  0% 1% 1% 100%
4.2OCaml 3.1225,7041064  0% 0% 0% 100%
4.2C++ g++ #2 1.291.29246,9401082  1% 2% 2% 99%
4.3C# Mono 3.033.03175,5041099  0% 1% 1% 100%
4.6Erlang HiPE #4 34.5734.60625,9481167  0% 1% 1% 100%
4.9Go 2.102.10249,6281243  0% 0% 1% 100%
5.1Erlang HiPE 21.2421.26563,3481302  0% 0% 0% 100%
5.2OCaml #3 2.1512,8801314  0% 0% 1% 100%
6.4Java  #7 2.388.24265,3241640  37% 48% 1% 95%
6.5Java  #3 2.842.85295,5761661  0% 2% 2% 100%
7.3C gcc 0.840.85496,8841867  0% 4% 3% 100%
8.1OCaml #4 1.661.66127,5842064  0% 1% 1% 100%
8.9C++ g++ #4 0.980.99245,6922275  3% 1% 0% 99%
13Ada 2005 GNAT #2 1.531.54200,5523220  1% 1% 1% 99%
Lua #3 Failed593
Scala #6 Failed519
Scala #5 Failed329
"wrong" (different) algorithm / less comparable programs
1.2Python 3 #5 4.724.73480,296306
1.6JavaScript V8 #5 38.1738.21541,148407
1.9Java  1.871.88512,512476
3.2Clojure #3 7.707.71556,088812
missing benchmark programs
F# Mono No program
Rust No program

 reverse-complement benchmark : Read DNA sequences - write their reverse-complement

diff program output for this 10KB input file (generated with the fasta program N = 1000) 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 the FASTA file generated by the fasta benchmark as input for this benchmark. Note: the file may include both lowercase and uppercase codes.

Each program should

We use these code complements:

code  meaning   complement
A    A                   T
C    C                   G
G    G                   C
T/U  T                   A
M    A or C              K
R    A or G              Y
W    A or T              W
S    C or G              S
Y    C or T              R
K    G or T              M
V    A or C or G         B
H    A or C or T         D
D    A or G or T         H
B    C or G or T         V
N    G or A or T or C    N

"by knowing the sequence of bases of one strand of DNA we immediately know the sequence of the DNA strand which will bind to it, this strand is called the reverse complement"
DNA: Structure and Function

Revised BSD license

  Home   Conclusions   License   Play