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Computer Language Benchmarks Game      Help

- all benchmarks - binary-trees chameneos-redux fannkuch fasta k-nucleotide mandelbrot meteor-contest n-body pidigits regex-dna reverse-complement spectral-norm thread-ring - all languages - Ada 2005 GNAT ATS C GNU gcc C# Mono C++ GNU g++ Clean Erlang HiPE F# Mono Fortran Intel Go 6g 8g Haskell GHC Java 6 -server Java 6 -Xint Java 6 steady state JavaScript TraceMonkey JavaScript V8 Lisaac Lisp SBCL Lua Lua LuaJIT Mozart/Oz OCaml Pascal Free Pascal Perl PHP Python 3 Python CPython Ruby 1.9 Ruby JRuby Ruby MRI Scala Scheme PLT Smalltalk VisualWorks

÷ Ada 2005 GNAT ATS C GNU gcc C# Mono C++ GNU g++ Clean Erlang HiPE F# Mono Fortran Intel Go 6g 8g Haskell GHC Java 6 -server Java 6 -Xint Java 6 steady state JavaScript TraceMonkey JavaScript V8 Lisaac Lisp SBCL Lua Lua LuaJIT Mozart/Oz OCaml Pascal Free Pascal Perl PHP Python 3 Python CPython Ruby 1.9 Ruby JRuby Ruby MRI Scala Scheme PLT Smalltalk VisualWorks

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

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

Each chart bar shows, for one unidentified benchmark, how much the fastest Smalltalk VisualWorks program used compared to the fastest Java 6 -server program.

 Step 2 : Are the Smalltalk VisualWorks programs faster? Approximately.

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

Each table row shows, for one named benchmark, how much the fastest Smalltalk VisualWorks program used compared to the fastest Java 6 -server program.

Smalltalk VisualWorks used what fraction? used how many times more?
Benchmark	Time	Memory	Code	Reduced N
chameneos-redux	5×	±	2×
binary-trees	5×	1/2	±
k-nucleotide	5×	2×	±	2,500,000
fasta	6×	±	±
spectral-norm	7×	±	1/2
fannkuch	9×	±	±
reverse-complement	9×	1/2	±
pidigits	10×	2×	±
regex-dna	11×	1/2	1/2
n-body	13×	±	±
mandelbrot	25×	1/4	1/2

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

 Step 3 : Are the Smalltalk VisualWorks programs faster? Measurements.

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

For each named benchmark, measurements of the fastest Smalltalk VisualWorks program are shown for comparison against measurements of the fastest Java 6 -server program.

Program Source Code	CPU secs	Elapsed secs	Memory KB	Code B	~ CPU Load
chameneos-redux
Smalltalk VisualWorks	60.92	60.91	12,772	2515	0% 0% 0% 100%
Java 6 -server	12.45	12.47	17,876	1429	0% 0% 0% 100%
binary-trees
Smalltalk VisualWorks	146.17	146.17	121,992	722	0% 0% 0% 100%
Java 6 -server	28.21	28.35	255,460	603	0% 0% 0% 99%
k-nucleotide N = 2,500,000 reduced workload
Smalltalk VisualWorks	30.32	30.32	164,696	1191	0% 0% 0% 100%
Java 6 -server	5.51	5.55	70,048	1602	0% 0% 0% 99%
fasta
Smalltalk VisualWorks	47.45	47.45	12,756	1171	0% 0% 0% 100%
Java 6 -server	7.50	7.51	12,248	1240	0% 0% 0% 100%
spectral-norm
Smalltalk VisualWorks	112.19	112.18	14,524	438	0% 0% 0% 100%
Java 6 -server	15.91	15.93	12,564	950	0% 0% 0% 100%
fannkuch
Smalltalk VisualWorks	589.38	589.34	12,724	772	0% 0% 0% 100%
Java 6 -server	66.79	66.83	13,796	1150	0% 0% 0% 100%
reverse-complement
Smalltalk VisualWorks	26.63	26.62	289,900	754	0% 0% 0% 100%
Java 6 -server	2.86	2.90	473,280	592	0% 1% 0% 99%
pidigits
Smalltalk VisualWorks	56.84	56.84	32,936	899	0% 0% 0% 100%
Java 6 -server	5.47	5.47	14,828	938	1% 3% 0% 100%
regex-dna
Smalltalk VisualWorks	317.68	317.67	296,396	584	0% 0% 0% 100%
Java 6 -server	29.35	29.37	689,108	929	0% 0% 0% 100%
n-body
Smalltalk VisualWorks	324.46	324.44	12,800	1652	0% 0% 0% 100%
Java 6 -server	25.05	25.08	12,412	1424	1% 0% 0% 100%
mandelbrot
Smalltalk VisualWorks	1,053.68	1,053.62	12,736	467	0% 0% 0% 100%
Java 6 -server	41.56	41.57	48,900	903	0% 0% 0% 100%

 Measurements for all the accepted programs

Ada 2005 GNAT ATS C GNU gcc C# Mono C++ GNU g++ Clean Erlang HiPE F# Mono Fortran Intel Go 6g 8g Haskell GHC Java 6 -server Java 6 -Xint Java 6 steady state JavaScript TraceMonkey JavaScript V8 Lisaac Lisp SBCL Lua Lua LuaJIT Mozart/Oz OCaml Pascal Free Pascal Perl PHP Python 3 Python CPython Ruby 1.9 Ruby JRuby Ruby MRI Scala Scheme PLT Smalltalk VisualWorks

 Smalltalk VisualWorks : uniform reflective environment - real live objects 

Code size measurements are misleading for Smalltalk because source files are usually only used to archive or transfer code. Smalltalk code is created, stored and run in a Smalltalk image. We show Smalltalk source code in a verbose chunk file format used to archive or transfer source code between Smalltalk images.

"Design Principles Behind Smalltalk" by Daniel Ingalls

VisualWorks(R) 7.6 Feb 14 2008

Home Page: Cincom Smalltalk™ VisualWorksl® Environment Data Sheet

Download: VisualWorksl® Non-Commercial

We've made the Smalltalk code a little more generic by abstracting out these implementation specific details:

Object subclass: #Tests
   instanceVariableNames: ''
   classVariableNames: ''
   poolDictionaries: ''
   category: 'Shootout'!


!Tests class methodsFor: 'platform'!
arg
   ^CEnvironment commandLine last asNumber! !

!Tests class methodsFor: 'platform'!
stdin
   ^Stdin! !


!Tests class methodsFor: 'platform'!
stdinSpecial
   ^ExternalReadStream on:
      (ExternalConnection ioAccessor: (UnixDiskFileAccessor new handle: 0))! !


!Tests class methodsFor: 'platform'!
stdout
   ^Stdout! !


!Tests class methodsFor: 'platform'!
stdoutSpecial
   ^ExternalWriteStream on:
      (ExternalConnection ioAccessor: (UnixDiskFileAccessor new handle: 1))! !


!Stream methodsFor: 'platform'!
nl
   self nextPut: Character lf! !


!Stream methodsFor: 'platform'!
print: number digits: decimalPlaces
   self nextPutAll:
      ((number asFixedPoint: decimalPlaces) printString copyWithout: $s)! !


!Stream methodsFor: 'platform'!
print: number paddedTo: width
   number printOn: self paddedWith: $  to: width base: 10! !


!Integer methodsFor: 'platform'!
asFloatD
   ^self asDouble! !