Ubuntu : Intel® Q6600® quad-core
Computer Language Benchmarks Game      [[ Help ]]

- all benchmarks - n-body fannkuch-redux meteor-contest fasta fasta-redux spectral-norm reverse-complement mandelbrot k-nucleotide regex-dna pidigits chameneos-redux thread-ring binary-trees - all languages - Ada 2005 GNAT ATS C GNU gcc Clojure C# Mono C++ GNU g++ Erlang HiPE F# Mono Fortran Intel Go Haskell GHC Java 7 -server Java 7 averaged Lisp SBCL OCaml Pascal Free Pascal Perl PHP Python 3 Racket Ruby 1.9 Ruby JRuby Scala

÷ Ada 2005 GNAT ATS C GNU gcc Clojure C# Mono C++ GNU g++ Erlang HiPE F# Mono Fortran Intel Go Haskell GHC Java 7 -server Java 7 averaged Lisp SBCL OCaml Pascal Free Pascal Perl PHP Python 3 Racket Ruby 1.9 Ruby JRuby Scala

 Step 1 : Are the programs faster? At a glance.

This chart shows 3 comparisons - Time-used, Memory-used and Code-used ~ speed and size.

Each chart bar shows, for one unidentified benchmark, how much the fastest program used compared to the fastest Scala program.

Look at speed another way - look at a box plot of Time-used data.

 Step 2 : Are the programs faster? Approximately.

This table shows 3 comparisons - Time-used, Memory-used and Code-used ~ speed and size.

Each table row shows, for one named benchmark, how much the fastest program used compared to the fastest Scala program.

used what fraction? used how many times more?
Benchmark	Time	Memory	Code

used what fraction? used how many times more?
Time-used	|-	|---	25%	median	75%	---|	-|
(Elapsed secs)

± read the measurements and then read the program source code.

 Step 3 : Are the programs faster? Measurements.

This table shows 5 measurements - CPU Time, Elapsed Time, Memory, Code and ≈ CPU Load ~ speed and size.

For each named benchmark, measurements of the fastest program are shown for comparison against measurements of the fastest Scala program.

Program Source Code	CPU secs	Elapsed secs	Memory KB	Code B	≈ CPU Load
binary-trees
	No program
Scala	0.38	0.35	204	641	17% 31% 75% 14%
regex-dna
	No program
Scala	1.16	0.58	148,228	723	32% 41% 42% 91%
n-body
	No program
Scala	0.48	0.44	17,064	1358	2% 7% 98% 5%
fannkuch-redux
	No program
Scala	0.88	0.38	208	1017	53% 51% 45% 89%
spectral-norm
	No program
Scala	0.50	0.28	208	720	30% 24% 89% 29%
fasta
	No program
Scala	0.35	0.29	236	1080	7% 7% 11% 97%
fasta-redux
	No program
Scala	0.40	0.29	208	1372	17% 21% 7% 93%
pidigits
	No program
Scala	0.60	0.40	204	1125	15% 24% 15% 97%
k-nucleotide
	No program
Scala	2.28	0.94	107,792	1625	55% 66% 66% 61%
reverse-complement
	No program
Scala	0.23	0.20	?	505	0% 10% 5% 100%
mandelbrot
	No program
Scala	0.64	0.34	208	796	29% 29% 97% 36%

 Step 4 : Are there other programs for these benchmarks?

Remember - those are just the fastest and Scala programs measured on this OS/machine. Check if there are other implementations of these benchmark programs for .

Ada 2005 GNAT ATS C GNU gcc Clojure C# Mono C++ GNU g++ Erlang HiPE F# Mono Fortran Intel Go Haskell GHC Java 7 -server Java 7 averaged Lisp SBCL OCaml Pascal Free Pascal Perl PHP Python 3 Racket Ruby 1.9 Ruby JRuby Scala

Maybe one of those other programs is fastest on a different OS/machine.

 Step 5 : Are there other faster programs for these benchmarks?

Remember - those are just the fastest and Scala programs measured on this OS/machine. Check if there are faster implementations of these benchmark programs for other programming languages.

n-body fannkuch-redux meteor-contest fasta fasta-redux spectral-norm reverse-complement mandelbrot k-nucleotide regex-dna pidigits chameneos-redux thread-ring binary-trees

Maybe one of those other programs is fastest on a different OS/machine.

  :  

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