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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
fasta	6×	±	±
binary-trees	7×	1/2	±
chameneos-redux	7×	±	2×
reverse-complement	9×	1/2	±
pidigits	11×	±	1/2
n-body	13×	±	±
k-nucleotide	15×	±	±	2,500,000
regex-dna	26×	1/2	1/2
spectral-norm	27×	±	1/2
fannkuch	34×	±	±
mandelbrot	99×	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
fasta
Smalltalk VisualWorks	47.10	47.09	12,752	1171	0% 0% 0% 100%
Java 6 -server	7.50	7.49	12,648	1240	0% 1% 99% 0%
binary-trees
Smalltalk VisualWorks	138.23	138.22	121,988	722	0% 1% 0% 100%
Java 6 -server	29.63	19.18	289,920	603	24% 75% 27% 28%
chameneos-redux
Smalltalk VisualWorks	60.86	60.85	12,772	2515	0% 100% 0% 0%
Java 6 -server	22.80	8.24	12,592	1377	50% 54% 84% 73%
reverse-complement
Smalltalk VisualWorks	26.69	26.69	289,904	754	100% 0% 0% 0%
Java 6 -server	2.98	2.94	473,712	592	1% 94% 4% 2%
pidigits
Smalltalk VisualWorks	56.88	56.88	32,936	899	0% 0% 0% 100%
Java 6 -server	12.95	5.00	28,624	1816	61% 59% 57% 55%
n-body
Smalltalk VisualWorks	325.56	325.54	12,796	1652	0% 100% 0% 1%
Java 6 -server	25.03	25.03	12,408	1424	100% 0% 0% 0%
k-nucleotide N = 2,500,000 reduced workload
Smalltalk VisualWorks	30.21	30.21	164,696	1191	0% 0% 100% 0%
Java 6 -server	6.17	2.07	145,296	1602	87% 67% 75% 69%
regex-dna
Smalltalk VisualWorks	316.57	316.58	296,392	584	100% 0% 1% 1%
Java 6 -server	30.64	12.27	665,900	929	51% 54% 71% 74%
spectral-norm
Smalltalk VisualWorks	111.96	111.95	14,524	438	0% 0% 0% 100%
Java 6 -server	15.95	4.11	12,552	950	97% 97% 98% 97%
fannkuch
Smalltalk VisualWorks	619.65	619.61	12,724	772	0% 1% 0% 100%
Java 6 -server	66.26	18.43	13,776	1150	78% 77% 98% 99%
mandelbrot
Smalltalk VisualWorks	1,085.49	1,085.42	12,740	467	0% 0% 0% 100%
Java 6 -server	43.12	10.95	48,920	903	98% 98% 99% 98%

 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! !