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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 Lisp SBCL Lua OCaml Pascal Free Pascal Perl PHP Python CPython 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 Lisp SBCL Lua OCaml Pascal Free Pascal Perl PHP Python CPython Ruby JRuby Ruby MRI Scala Scheme PLT Smalltalk VisualWorks

 Step 1 : Are the JavaScript TraceMonkey 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 JavaScript TraceMonkey program used compared to the fastest Perl program.

 Step 2 : Are the JavaScript TraceMonkey 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 JavaScript TraceMonkey program used compared to the fastest Perl program.

JavaScript TraceMonkey used what fraction? used how many times more?
Benchmark	Time	Memory	Code	Reduced N
spectral-norm	1/19	1/3	1/3
n-body	1/7	1,280×	±	5,000,000
binary-trees	1/4	2×	±	16
regex-dna	1/4	4×	±
fasta	1/2	41×	±
fannkuch	±	±	±
k-nucleotide	2×	±	±
reverse-complement	8×	3×	2×
pidigits	339×	16×	2×	6,000

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

 Step 3 : Are the JavaScript TraceMonkey 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 JavaScript TraceMonkey program are shown for comparison against measurements of the fastest Perl program.

Program Source Code	CPU secs	Elapsed secs	Memory KB	Code B	~ CPU Load
spectral-norm
JavaScript TraceMonkey	58.49	58.49	4,424	311	0% 0% 0% 100%
Perl	1,094.72	1,094.65	11,060	846	0% 0% 0% 100%
n-body N = 5,000,000 reduced workload
JavaScript TraceMonkey	22.63	22.63	3,293,176	1287	4% 3% 3% 100%
Perl	162.35	162.35	2,572	1140	0% 0% 0% 100%
binary-trees N = 16 reduced workload
JavaScript TraceMonkey	12.79	12.79	154,316	467	0% 0% 0% 100%
Perl	52.44	52.44	70,092	541	0% 0% 0% 100%
regex-dna
JavaScript TraceMonkey	10.79	10.79	636,800	365	0% 0% 0% 100%
Perl	38.78	38.78	165,064	527	0% 0% 0% 100%
fasta
JavaScript TraceMonkey	135.74	135.77	104,772	923	1% 0% 1% 100%
Perl	311.00	310.98	2,548	934	1% 1% 1% 100%
fannkuch
JavaScript TraceMonkey	2,296.58	2,296.46	2,696	488	0% 0% 0% 100%
Perl	2,660.57	2,660.43	2,060	391	0% 0% 0% 100%
k-nucleotide
JavaScript TraceMonkey	438.71	439.27	1,057,344	423	0% 0% 0% 100%
Perl	225.09	228.97	780,228	359	0% 0% 0% 100%
reverse-complement
JavaScript TraceMonkey	44.80	44.80	1,378,936	456	0% 0% 0% 100%
Perl	5.30	5.30	433,056	298	0% 0% 0% 100%
pidigits N = 6,000 reduced workload
JavaScript TraceMonkey	1,110.60	1,110.55	57,720	609	0% 0% 0% 100%
Perl	3.27	3.28	3,564	385	0% 0% 0% 100%
mandelbrot
JavaScript TraceMonkey	Failed
chameneos-redux
	No program

 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 Lisp SBCL Lua OCaml Pascal Free Pascal Perl PHP Python CPython Ruby JRuby Ruby MRI Scala Scheme PLT Smalltalk VisualWorks

 JavaScript TraceMonkey : ubiquitous web-browser embedded scripting  

"Trace-based Just-in-Time Type Specialization for Dynamic Languages" pdf

mozilla-central-6282cd265a5c

Home Page: Introduction to the JavaScript shell

Download: Building SpiderMonkey tip