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- 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 Java 6 -server 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 Java 6 -server program used compared to the fastest C++ GNU g++ program.

 Step 2 : Are the Java 6 -server 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 Java 6 -server program used compared to the fastest C++ GNU g++ program.

Java 6 -server used what fraction? used how many times more?
Benchmark	Time	Memory	Code	Reduced N
n-body	±	16×	±
spectral-norm	±	13×	±
fannkuch	±	12×	±
mandelbrot	2×	2×	±
fasta	2×	15×	±
pidigits	2×	9×	±
regex-dna	2×	7×	1/2
binary-trees	2×	2×	±
reverse-complement	3×	2×	1/4
chameneos-redux	3×	14×	±
k-nucleotide	3×	3×	1/2

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

 Step 3 : Are the Java 6 -server 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 Java 6 -server program are shown for comparison against measurements of the fastest C++ GNU g++ program.

Program Source Code	CPU secs	Elapsed secs	Memory KB	Code B	~ CPU Load
n-body
Java 6 -server	25.05	25.08	12,412	1424	1% 0% 0% 100%
C++ GNU g++	23.81	23.81	788	1428	0% 1% 0% 100%
spectral-norm
Java 6 -server	15.91	15.93	12,564	950	0% 0% 0% 100%
C++ GNU g++	11.94	11.94	1,004	1114	0% 0% 1% 100%
fannkuch
Java 6 -server	66.79	66.83	13,796	1150	0% 0% 0% 100%
C++ GNU g++	50.01	50.01	1,124	1186	0% 0% 0% 100%
mandelbrot
Java 6 -server	41.56	41.57	48,900	903	0% 0% 0% 100%
C++ GNU g++	24.55	24.55	30,564	858	0% 0% 0% 100%
fasta
Java 6 -server	7.50	7.51	12,248	1240	0% 0% 0% 100%
C++ GNU g++	3.76	3.77	816	1470	0% 0% 0% 100%
pidigits
Java 6 -server	5.47	5.47	14,828	938	1% 3% 0% 100%
C++ GNU g++	2.71	2.71	1,596	682	0% 0% 1% 100%
regex-dna
Java 6 -server	29.35	29.37	689,108	929	0% 0% 0% 100%
C++ GNU g++	14.19	14.19	100,332	1759	0% 0% 0% 100%
binary-trees
Java 6 -server	28.21	28.35	255,460	603	0% 0% 0% 99%
C++ GNU g++	13.47	13.47	148,652	892	0% 0% 0% 100%
reverse-complement
Java 6 -server	2.86	2.90	473,280	592	0% 1% 0% 99%
C++ GNU g++	1.12	1.12	245,432	2275	1% 0% 1% 100%
chameneos-redux
Java 6 -server	12.45	12.47	17,876	1429	0% 0% 0% 100%
C++ GNU g++	4.02	4.02	1,244	1606	0% 0% 0% 100%
k-nucleotide
Java 6 -server	46.90	46.95	351,004	1602	0% 0% 0% 100%
C++ GNU g++	13.61	13.61	132,864	3415	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

 Java 6 -server : ubiquitous jit server virtual machine 

java version "1.6.0_16"
Java(TM) SE Runtime Environment (build 1.6.0_16-b01)
Java HotSpot(TM) Server VM (build 14.2-b01, mixed mode)

Home Page: http://java.sun.com/j2se/

Download: http://java.sun.com/j2se/downloads/

"Remember how HotSpot works. It starts by running your program with an interpreter. When it discovers that some method is "hot" -- that is, executed a lot, either because it is called a lot or because it contains loops that loop a lot -- it sends that method off to be compiled. After that one of two things will happen, either the next time the method is called the compiled version will be invoked (instead of the interpreted version) or the currently long running loop will be replaced, while still running, with the compiled method. The latter is known as "on stack replacement" and exists in the 1.3/1.4 HotSpot based systems."

Benchmarking the Java HotSpot VM