fannkuch-redux benchmark N=12

Each chart bar shows how many times more Memory, one ↓ fannkuch-redux program used, compared to the program that used least Memory.

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.

    sortsort sort
  ×   Program Source Code CPU secs Elapsed secs Memory KB Code B ≈ CPU Load
1.0Fortran Intel 57.6257.64244590  0% 0% 0% 100%
1.5C++ g++ #7 22.6622.673601150  1% 1% 0% 100%
1.5C++ g++ #3 59.0659.08364593  1% 0% 0% 100%
1.6C gcc 63.1263.14392508  1% 0% 1% 100%
1.6C gcc #3 52.4352.45396567  1% 0% 0% 100%
1.6C gcc #4 22.7122.723961183  1% 0% 0% 100%
1.7C gcc #2 55.4555.474241557  0% 1% 1% 100%
3.1Pascal Free Pascal 87.2887.317521018  1% 0% 0% 100%
3.1OCaml #2 90.3890.41760473  0% 0% 0% 100%
3.1OCaml 106.37106.41764524  0% 0% 0% 100%
4.2Lua 35 min35 min1,016462  0% 0% 0% 100%
4.2Go 67.2167.241,032900  0% 1% 1% 100%
5.2C++ g++ #4 53.5553.571,2721439  1% 1% 1% 100%
5.2C++ g++ #5 53.2953.311,2721440  1% 1% 0% 100%
7.5Perl 38 min38 min1,836457  0% 0% 0% 100%
8.0Ada 2005 GNAT #3 38.2738.301,9602100  1% 0% 1% 100%
8.6Haskell GHC #4 67.8867.912,108658  0% 1% 1% 100%
9.7Haskell GHC #5 65.5465.562,364834  0% 1% 1% 100%
13PHP #2 49 min49 min3,264441  0% 0% 0% 100%
14PHP 55 min55 min3,316482  0% 0% 0% 100%
14Haskell GHC 7 min7 min3,504553  0% 1% 1% 100%
15Haskell GHC #2 249.18249.283,564808  0% 1% 1% 100%
22Python 3 #6 38 min38 min5,416385  1% 0% 0% 100%
31JavaScript V8 92.1292.157,500463  1% 0% 1% 100%
31Ruby 39 min39 min7,512384  0% 0% 0% 100%
31JavaScript V8 #2 80.5480.577,516472  1% 1% 0% 100%
31JavaScript V8 #3 75.6775.707,528539  1% 0% 1% 100%
31Fortran Intel #3 48.9748.997,5961148  0% 0% 0% 100%
47OCaml #4 0.0065.0211,4161004  0% 0% 0% 100%
48Erlang HiPE 7 min7 min11,6241038  0% 0% 0% 100%
64PHP #3 50 min50 min15,5601150  0% 0% 0% 100%
77Racket 297.40297.4818,820649  0% 0% 1% 100%
79C# Mono 70.3370.3619,344520  1% 0% 0% 100%
80C# Mono #2 50.1050.1219,608564  1% 0% 0% 100%
82Java  68.8968.9119,8921282  1% 1% 1% 100%
82Java  #2 73.1073.1319,920514  0% 0% 0% 100%
83Racket #2 272.01272.0820,224903  0% 0% 1% 100%
83F# Mono #4 63.5663.5920,356612  1% 0% 0% 100%
85Racket #3 296.07296.1420,8041096  0% 1% 1% 100%
88OCaml #3 0.0069.3021,4001017  0% 0% 0% 100%
88F# Mono #2 82.7582.7821,572548  1% 0% 0% 100%
94C# Mono #3 88.3488.3822,9521096  1% 0% 0% 100%
96Lisp SBCL #3 74.1274.1523,516821  1% 0% 0% 100%
98Scala 90.0790.1023,940459  0% 0% 0% 100%
101F# Mono 141.02141.1924,620551  0% 1% 1% 100%
107Scala #2 58.0858.1026,2161017  1% 1% 1% 100%
130Rust 71.8271.8531,656644  3% 1% 0% 100%
139Lisp SBCL #4 65.0865.1034,0081518  0% 1% 1% 100%
141Lisp SBCL #5 59.4859.5034,464674  0% 0% 0% 100%
142F# Mono #3 83.9684.1134,656945  1% 1% 1% 100%
164Python 3 #2 59 min59 min40,080797  0% 0% 1% 100%
175Smalltalk VisualWorks 11 min11 min42,580838  0% 0% 0% 100%
227Hack 15 min15 min55,344532  1% 0% 0% 100%
248Clojure #3 71.1571.1860,4001491  0% 0% 1% 100%
261Clojure #2 155.79155.9063,6401088  1% 1% 1% 100%
321Lisp SBCL #2 187.62187.9278,260513  0% 1% 1% 100%
712Dart #2 80.8480.89173,748495  1% 1% 0% 100%
2,662Ruby JRuby 12 min12 min649,516384  0% 0% 0% 100%
C++ g++ Failed1059
Haskell GHC #3 Timed Out5 min1153
Hack #2 Timed Out1h 20 min440
Hack #3 Failed1150
Perl #2 Failed565
Python 3 Timed Out1h 00 min1108
"wrong" (different) algorithm / less comparable programs
1.5C++ g++ #6 37.8637.88364894
80C# Mono #4 42.5942.6119,608710
86Java  #3 43.9944.0121,0441633
101C# Mono #5 41.3141.3324,5361400
179Lisp SBCL 52.5152.5443,6881607

 fannkuch-redux benchmark : Indexed-access to tiny integer-sequence

diff program output N = 7 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.

For N = 7 programs should generate these permutations (40KB) - which, incidentally, seem to be in the same order as permutations generated by the Tompkins-Paige algorithm, see pages 150-151 Permutation Generation Methods Robert Sedgewick.

The fannkuch benchmark is defined by programs in Performing Lisp Analysis of the FANNKUCH Benchmark, Kenneth R. Anderson and Duane Rettig.

Each program should

The conjecture is that this maximum count is approximated by n*log(n) when n goes to infinity.

FANNKUCH is an abbreviation for the German word Pfannkuchen, or pancakes, in analogy to flipping pancakes.


Thanks to Oleg Mazurov for insisting on a checksum and providing this helpful description of the approach he took -

Revised BSD license

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