http://www.omatrix.com/bench.html
http://www.omatrix.com/benchstats.html
Source code for the benchmarks is available in the O-Matrix download:
http://www.omatrix.com/demodown.html
http://www.sciviews.org/benchmark/index.html
Windows XP SP2 PIV HT 3.2 Ghz (GenuineIntel x86 Family 15 Model 2
Stepping 9)
Scilab-4.0
___________________________________________
scilab-4.0
Copyright (c) 1989-2006
Consortium Scilab (INRIA, ENPC)
___________________________________________
Startup execution:
loading initial environment
Scilab Benchmark 2
==================
Number of times each test is run__________________________: 3
I. Matrix calculation
---------------------
Creation, transp., deformation of a 1500x1500 matrix (sec): 0.4322917
800x800 normal distributed random matrix ^1000______ (sec): 0.203125
Sorting of 2,000,000 random values__________________ (sec): 0.828125
700x700 cross-product matrix (b = a' * a)___________ (sec): 0.1979167
Linear regression over a 600x600 matrix (c = a \ b') (sec): 0.1145833
--------------------------------------------------
Trimmed geom. mean (2 extremes eliminated): 0.2590245
II. Matrix functions
--------------------
FFT over 800,000 random values______________________ (sec): 0.984375
Eigenvalues of a 320x320 random matrix______________ (sec): 0.375
Determinant of a 650x650 random matrix______________ (sec): 0.1197917
Cholesky decomposition of a 900x900 matrix__________ (sec): 0.125
Inverse of a 400x400 random matrix__________________ (sec): 0.0885417
--------------------------------------------------
Trimmed geom. mean (2 extremes eliminated): 0.1777417
III. Programmation
------------------
750,000 Fibonacci numbers calculation (vector calc)_ (sec): 0.25
Creation of a 2250x2250 Hilbert matrix (matrix calc) (sec): 0.3854167
Grand common divisors of 70,000 pairs (recursion)___ (sec): 0.4739583
Creation of a 220x220 Toeplitz matrix (loops)_______ (sec): 0.5625
Escoufier's method on a 37x37 matrix (mixed)________ (sec): 0.625
--------------------------------------------------
Trimmed geom. mean (2 extremes eliminated): 0.4683793
Total time for all 15 tests_________________________ (sec): 5.765625
Overall mean (sum of I, II and III trimmed means/3)_ (sec): 0.2783402
--- End of test ---
Matlab 7.1.0.246 (R14) Service Pack 3
Matlab Benchmark 2
==================
Number of times each test is run__________________________: 3
I. Matrix calculation
---------------------
Creation, transp., deformation of a 1500x1500 matrix (sec): 1.9189
800x800 normal distributed random matrix ^1000______ (sec): 0.28557
Sorting of 2,000,000 random values__________________ (sec): 0.45095
700x700 cross-product matrix (b = a' * a)___________ (sec): 0.20764
Linear regression over a 600x600 matrix (c = a \ b') (sec): 0.14014
------------------------------------------------------
Trimmed geom. mean (2 extremes eliminated): 0.29903
II. Matrix functions
--------------------
FFT over 800,000 random values______________________ (sec): 0.27978
Eigenvalues of a 320x320 random matrix______________ (sec): 0.46314
Determinant of a 650x650 random matrix______________ (sec): 0.081383
Cholesky decomposition of a 900x900 matrix__________ (sec): 0.11033
Inverse of a 400x400 random matrix__________________ (sec): 0.089263
------------------------------------------------------
Trimmed geom. mean (2 extremes eliminated): 0.14019
III. Programmation
------------------
750,000 Fibonacci numbers calculation (vector calc)_ (sec): 0.77142
Creation of a 2250x2250 Hilbert matrix (matrix calc) (sec): 4.2263
Grand common divisors of 70,000 pairs (recursion)___ (sec): 1.066
Creation of a 220x220 Toeplitz matrix (loops)_______ (sec): 0.006017
Escoufier's method on a 37x37 matrix (mixed)________ (sec): 0.56908
------------------------------------------------------
Trimmed geom. mean (2 extremes eliminated): 0.77638
Total time for all 15 tests_________________________ (sec): 10.6659
Overall mean (sum of I, II and III trimmed means/3)_ (sec): 0.31928
--- End of test ---
<user....@yahoo.com> wrote in message
news:1146677554.5...@j33g2000cwa.googlegroups.com...
Is this the end of this thread? What is the overall conclusion of the
benchmark update? To me it seems that Scilab is an incredible performer as
compared with Matlab. If this is the case, Scilab has travelled a very long
way since version 2.7!!!
Carl
"Carl" <phleum...@chello.se> wrote in message
news:Q758g.46$YI3.2@amstwist00...