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- 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 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 Lisp SBCL OCaml Pascal Free Pascal Perl PHP Python 3 Racket Ruby 1.9 Ruby JRuby Scala

 Step 1 : Are the Java 7 -server 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 Java 7 -server program used compared to the fastest C++ GNU g++ program.

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

 Step 2 : Are the Java 7 -server 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 Java 7 -server program used compared to the fastest C++ GNU g++ program.

Java 7 -server used what fraction? used how many times more?
Benchmark	Time	Memory	Code
fasta-redux	1/2	23×	±
fasta	±	52×	±
fannkuch-redux	±	14×	±
mandelbrot	±	2×	±
n-body	±	44×	±
spectral-norm	2×	38×	±
binary-trees	2×	3×	±
reverse-complement	2×	±	±
pidigits	2×	33×	3×
regex-dna	2×	4×	±
k-nucleotide	3×	3×	±

Java 7 -server used what fraction? used how many times more?
Time-used	|-	|---	25%	median	75%	---|	-|
(Elapsed secs)	1/2	1/2	±	2×	2×	3×	3×

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

 Step 3 : Are the Java 7 -server 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 Java 7 -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
fasta-redux
Java 7 -server	1.89	1.84	14,420	1443	1% 2% 3% 100%
C++ GNU g++	2.93	2.94	616	1474	1% 0% 0% 100%
fasta
Java 7 -server	4.95	4.86	14,976	1507	1% 0% 100% 1%
C++ GNU g++	6.30	6.31	288	1266	0% 0% 100% 0%
fannkuch-redux
Java 7 -server	67.73	17.13	14,208	1282	98% 99% 99% 100%
C++ GNU g++	61.42	15.77	1,020	1439	100% 97% 97% 96%
mandelbrot
Java 7 -server	27.15	6.89	67,832	796	98% 99% 99% 99%
C++ GNU g++	23.74	5.97	32,096	1017	99% 99% 99% 100%
n-body
Java 7 -server	24.37	24.34	13,932	1424	0% 0% 0% 100%
C++ GNU g++	20.13	20.14	320	1659	0% 0% 100% 0%
spectral-norm
Java 7 -server	16.38	4.21	14,556	950	97% 97% 99% 98%
C++ GNU g++	10.03	2.52	388	1044	100% 100% 100% 100%
binary-trees
Java 7 -server	23.89	9.78	532,932	1007	61% 77% 45% 63%
C++ GNU g++	17.07	5.78	178,988	892	90% 71% 77% 59%
reverse-complement
Java 7 -server	2.88	1.52	294,656	1661	56% 74% 46% 16%
C++ GNU g++	1.25	0.86	245,456	2275	51% 15% 33% 49%
pidigits
Java 7 -server	12.36	5.16	47,348	1826	60% 61% 61% 54%
C++ GNU g++	2.76	2.76	1,452	682	0% 0% 100% 0%
regex-dna
Java 7 -server	28.92	10.07	708,180	929	65% 64% 83% 76%
C++ GNU g++	6.00	4.45	174,392	695	33% 2% 100% 1%
k-nucleotide
Java 7 -server	34.65	9.39	381,176	2431	92% 89% 97% 92%
C++ GNU g++	12.13	3.65	132,052	3415	83% 81% 95% 76%

 Step 4 : Are there other Java 7 -server programs for these benchmarks?

Remember - those are just the fastest Java 7 -server and C++ GNU g++ programs measured on this OS/machine. Check if there are other implementations of these benchmark programs for Java 7 -server.

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 Lisp SBCL OCaml Pascal Free Pascal Perl PHP Python 3 Racket Ruby 1.9 Ruby JRuby Scala

Maybe one of those other Java 7 -server programs is fastest on a different OS/machine.

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

Remember - those are just the fastest Java 7 -server and C++ GNU g++ 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.

 Java 7 -server : ubiquitous jit server virtual machine 

java version "1.7.0_04"
Java(TM) SE Runtime Environment (build 1.7.0_04-b20)
Java HotSpot(TM) Server VM (build 23.0-b21, mixed mode)

Home Page: Java SE at a Glance

Download: Java SE Downloads

See What about Java?

"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

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