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 pidigits benchmark N=10,000

Each chart bar shows how many times more Memory, one ↓ pidigits 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
1.0Pascal Free Pascal 29.4429.458243042  73% 0% 0% 28%
1.1C gcc 1.731.73940448  2% 0% 1% 100%
1.1C gcc #4 2.292.29944541  1% 0% 1% 100%
1.2Pascal Free Pascal #2 2.782.781,024785  0% 0% 0% 100%
1.6Fortran Intel #3 1.911.921,324975  0% 2% 1% 100%
1.6Fortran Intel #2 2.292.301,328934  0% 0% 2% 100%
2.0Rust 12.4912.501,620677  1% 100% 0% 0%
2.0C++ g++ #3 2.302.301,660682  1% 3% 100% 0%
2.5Ada 2005 GNAT #2 2.292.292,0801254  2% 0% 2% 100%
2.6Ada 2005 GNAT 10.8510.852,1601143  0% 1% 100% 0%
3.4OCaml #4 9.309.312,8361481  11% 0% 1% 89%
4.8Go #4 3.463.303,944607  2% 2% 100% 1%
5.2PHP #5 2.162.164,280394  1% 0% 0% 100%
5.2PHP #4 2.162.174,284384  0% 0% 1% 100%
5.2Perl #3 4.464.474,316301  0% 100% 0% 0%
5.2Perl #4 4.374.384,316261  1% 0% 0% 100%
5.3Perl #2 4.924.924,396385  1% 100% 1% 0%
5.5PHP #3 2.242.254,496500  0% 0% 0% 100%
5.8PHP #2 3.383.394,768537  1% 61% 40% 1%
6.9Lisp SBCL 2.372.375,7121073  1% 2% 5% 100%
7.3Python 3 6.156.156,040242  0% 0% 100% 1%
7.5Haskell GHC #4 3.982.716,212341  17% 16% 100% 17%
7.8PHP 8 min8 min6,392736  0% 99% 1% 0%
7.8Perl 15.8315.846,452452  0% 0% 100% 0%
8.0Python 3 #2 2.402.416,600256  1% 2% 0% 100%
8.2Python 3 #3 4.534.546,788521  2% 1% 0% 100%
9.4OCaml #3 17.2417.277,724869  7% 0% 100% 1%
9.4OCaml #2 22.0522.087,744510  0% 0% 100% 0%
11OCaml 2.812.819,036560  0% 0% 100% 0%
20C# Mono #3 10.9911.0016,3121026  0% 1% 100% 1%
21F# Mono #3 11.0111.0217,488903  100% 0% 1% 1%
26Erlang 16.1116.1221,152559  100% 0% 0% 0%
29Java  #2 3.173.0323,504938  19% 80% 5% 3%
31Erlang HiPE 17.5517.5525,368559  1% 10% 11% 79%
31Racket #2 2.342.3425,6481122  0% 1% 0% 100%
34Erlang HiPE #2 16.4715.5727,604512  1% 5% 99% 1%
41Erlang #2 16.0315.6833,568512  2% 1% 1% 99%
53C# Mono #2 39.6139.6544,060856  97% 1% 1% 3%
54Scala #4 3.742.9944,8361125  10% 9% 99% 10%
60Java  #4 12.714.7349,1361808  68% 68% 66% 69%
60F# Mono 54.7954.8349,508513  97% 1% 2% 3%
65Java  #3 12.714.7453,3721826  68% 67% 68% 69%
72Hack 7 min7 min59,236735  1% 0% 100% 1%
91Ruby #3 11.1611.1874,636242  1% 1% 0% 100%
91Ruby #4 11.1511.1775,236240  1% 1% 0% 100%
114Dart 27.2327.0893,696321  1% 1% 1% 100%
144Racket 27.5227.55118,288453  1% 0% 100% 1%
254Clojure #4 8.815.54209,3201794  56% 25% 23% 56%
263Lisp SBCL #2 18.6018.64216,844645  1% 0% 1% 100%
281Ruby 30.6530.70231,480518  0% 100% 1% 0%
423Java  19.7218.43348,168800  23% 43% 25% 17%
454Clojure #2 23.2719.67374,140571  15% 79% 14% 12%
498Clojure #3 26.2920.67410,348482  20% 72% 17% 20%
782Ruby JRuby #3 17.8312.68644,196242  68% 16% 30% 28%
790Ruby JRuby #4 17.5912.66650,764240  77% 29% 18% 16%
912Ruby JRuby 29.5220.61751,600518  37% 11% 77% 19%
1,311Scala #3 24.1017.071,080,056479  19% 72% 35% 17%
Fortran Intel Failed1768
Ruby #2 Failed653
Scala Failed355
"wrong" (different) algorithm / less comparable programs
 Python 3 #4 Failed  248
304Scala #2 8.366.64250,164632

 pidigits benchmark : Streaming arbitrary-precision arithmetic

diff program output N = 27 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.

Each program should use the same step-by-step spigot algorithm to calculate digits of Pi.

Each program should

Programs should adapt the step-by-step algorithm given on pages 4,6 & 7 of Unbounded Spigot Algorithms for the Digits of Pi (156KB pdf). (Not the deliberately obscure version given on page 2.)(Not the Rabinowitz-Wagon algorithm.)

In addition to language specific multiprecision arithmetic, we will accept programs that use GMP.

For more information see Eric W. Weisstein, "Pi Digits." From MathWorld--A Wolfram Web Resource.
http://mathworld.wolfram.com/PiDigits.html

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