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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

 How big is the measured performance difference?

Each chart bar shows how many times more Time or how many times more Memory one unidentified ↓ regex-dna program used, compared to the program that used least Time or the program that used least Memory.

 regex-dna benchmark ~50MB N=5,000,000

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

Compare how much Memory the regex-dna programs used - sort Memory KB. Compare how much Code the programs used - sort Code B

Column × shows how many times more each program used compared to the program that used least.

		sort	sort	sort	sort
×	Program Source Code	CPU secs	Elapsed secs	Memory KB	Code B	~ CPU Load
1.0	C++ GNU g++ #4	14.67	4.78	97,064	1759	84% 60% 100% 63%
1.2	JavaScript V8 #2	5.64	5.64	211,488	373	100% 0% 1% 0%
1.3	C++ GNU g++	19.68	6.23	99,252	1588	65% 64% 100% 88%
1.8	C GNU gcc #4	26.15	8.50	94,712	1525	67% 73% 67% 100%
1.8	JavaScript TraceMonkey	8.54	8.54	570,712	365	0% 100% 0% 0%
2.0	JavaScript TraceMonkey #2	9.64	9.64	581,052	373	0% 0% 0% 100%
2.6	Java 6 -server #5	30.64	12.27	665,900	929	51% 54% 71% 74%
2.6	Haskell GHC #4	36.34	12.57	167,056	1672	63% 61% 65% 96%
3.0	Perl #2	39.07	14.23	153,584	527	55% 66% 58% 96%
3.1	Scala #3	33.15	14.89	802,148	659	38% 41% 52% 92%
3.3	Java 6 -server #2	46.23	15.86	578,852	1534	71% 66% 85% 69%
3.6	Ada 2005 GNAT	46.42	17.17	158,164	3334	58% 79% 64% 64%
4.2	Scala #2	54.37	19.92	740,916	1520	66% 74% 67% 65%
4.2	Lisp SBCL #3	44.40	19.95	830,168	1948	75% 49% 50% 46%
6.0	C++ GNU g++ #3	28.78	28.78	116,368	1599	0% 100% 0% 0%
6.1	Python CPython	29.22	29.22	191,156	342	0% 100% 0% 0%
6.3	Java 6 -server #4	30.84	30.27	711,812	921	1% 7% 78% 16%
6.7	C GNU gcc #2	32.17	32.17	124,696	1099	0% 0% 100% 0%
6.8	Python 3	32.36	32.36	382,112	349	100% 0% 0% 0%
6.9	ATS	33.00	33.00	155,776	2551	100% 0% 0% 0%
8.1	Scheme PLT	38.85	38.85	614,904	835	93% 0% 7% 7%
8.6	Scheme PLT #2	40.98	40.98	615,292	669	0% 100% 0% 0%
8.8	Scala	42.73	41.90	855,812	663	2% 94% 2% 5%
9.0	Perl #4	42.90	42.90	561,996	440	0% 100% 0% 0%
9.1	C# Mono #6	120.56	43.23	655,020	638	58% 63% 58% 100%
10	PHP #2	47.30	47.30	219,512	449	0% 0% 0% 100%
11	Ruby 1.9	50.69	50.66	321,172	323	0% 0% 100% 0%
12	Ruby MRI	58.39	58.39	254,336	323	0% 0% 0% 100%
14	Erlang HiPE #6	210.30	64.90	138,860	1058	68% 69% 85% 97%
15	C# Mono #5	244.60	69.66	847,728	1647	84% 87% 90% 89%
18	C# Mono	84.27	84.27	2,666,644	624	0% 0% 100% 0%
18	Ruby JRuby	87.41	84.49	536,144	323	4% 1% 1% 96%
20	Erlang HiPE #5	238.22	93.91	793,816	855	58% 47% 89% 58%
31	Erlang HiPE	5 min	147.29	1,066,832	1022	57% 80% 45% 56%
31	Java 6 -Xint #5	5 min	147.97	682,692	929	55% 76% 63% 47%
35	Java 6 -Xint #2	8 min	168.59	556,812	1534	67% 67% 69% 97%
66	Smalltalk VisualWorks	5 min	5 min	296,392	584	100% 0% 1% 1%
69	Java 6 -Xint #4	5 min	5 min	679,480	921	90% 0% 0% 10%
78	Erlang HiPE #3	6 min	6 min	1,066,932	687	0% 54% 0% 47%
104	Go 6g 8g	8 min	8 min	2,270,996	634	0% 65% 35% 0%
	Ada 2005 GNAT #3	Failed			1233
	Ada 2005 GNAT #4	Failed			1352
	C# Mono #2	Failed			645
	C# Mono #3	Failed			607
	Erlang HiPE #2	Failed			808
	JavaScript V8	Bad Output			365
	Lisaac	Make Error			1299
	Lisp SBCL	Failed			591
	Mozart/Oz #2	Timed Out	1h 00 min		589
	OCaml #2	Failed			615
	OCaml	Failed			1261
	OCaml #3	Failed			892
interesting alternative programs
1.1	Perl #3	5.48	5.48	300,124	440
	Fortran Intel	Failed			2425
1.4	Perl #6	6.55	6.55	201,960	477
2.3	Pascal Free Pascal #3	11.02	11.02	224,996	2932
2.7	Perl #5	12.98	12.98	203,772	484
2.8	Python CPython #2	13.16	13.16	189,136	314
2.8	Haskell GHC	39.31	13.34	249,528	519
3.0	Python 3 #2	14.47	14.47	389,868	316
4.2	PHP	47.59	19.86	210,036	1044
4.4	Perl	21.14	21.14	202,852	426
5.0	F# Mono	32.56	23.78	706,636	796
5.0	Pascal Free Pascal	24.00	24.01	122,884	1199
7.3	Lua #3	34.69	34.69	340,048	427
8.2	Lua LuaJIT #3	38.93	38.94	298,672	427
9.1	Ruby 1.9 #2	43.63	43.62	408,764	396
9.8	Ruby MRI #2	46.78	46.77	352,724	396
14	C# Mono #4	67.16	67.16	481,960	657
15	Ruby JRuby #2	74.13	71.26	532,176	396
missing programs
	Clean	No program
	F# Mono	No program
	Fortran Intel	No program
	Java 6 steady state	No program
	Lua	No program
	Lua LuaJIT	No program
	Pascal Free Pascal	No program

 regex-dna benchmark : Match DNA 8-mers and substitute nucleotides for IUB codes

diff program output for this 100KB input file (generated with the fasta program N = 10000) with this output file to check your program is correct before contributing.

We use FASTA files generated by the fasta benchmark as input for this benchmark. Note: the file may include both lowercase and uppercase codes.

Each program should

• read all of a redirected FASTA format file from stdin, and record the sequence length
• use the same simple regex pattern match-replace to remove FASTA sequence descriptions and all linefeed characters, and record the sequence length
• use the same simple regex patterns, representing DNA 8-mers and their reverse complement (with a wildcard in one position), and (one pattern at a time) count matches in the redirected file
• write the regex pattern and count
• use the same simple regex patterns to make IUB code alternatives explicit, and (one pattern at a time) match-replace the pattern in the redirect file, and record the sequence length
• write the 3 recorded sequence lengths