Thanks, Simon.
With the vecLib/Accelerate BLAS, the results are indeed rather faster :)
Kieran
14” MacBook Pro / M1 Max
R Benchmark 2.5
===============
Number of times each test is run__________________________: 3
I. Matrix calculation
---------------------
Creation, transp., deformation of a 2500x2500 matrix (sec): 0.260999999999999
2400x2400 normal distributed random matrix ^1000____ (sec): 0.105
Sorting of 7,000,000 random values__________________ (sec): 0.595
2800x2800 cross-product matrix (b = a' * a)_________ (sec): 0.056666666666666
Linear regr. over a 3000x3000 matrix (c = a \ b')___ (sec): 0.0446666666666668
--------------------------------------------
Trimmed geom. mean (2 extremes eliminated): 0.115802825957684
II. Matrix functions
--------------------
FFT over 2,400,000 random values____________________ (sec): 0.0723333333333329
Eigenvalues of a 640x640 random matrix______________ (sec): 0.156666666666667
Determinant of a 2500x2500 random matrix____________ (sec): 0.098999999999999
Cholesky decomposition of a 3000x3000 matrix________ (sec): 0.0716666666666654
Inverse of a 1600x1600 random matrix________________ (sec): 0.082666666666667
--------------------------------------------
Trimmed geom. mean (2 extremes eliminated): 0.0839655943753058
III. Programmation
------------------
3,500,000 Fibonacci numbers calculation (vector calc)(sec): 0.0933333333333337
Creation of a 3000x3000 Hilbert matrix (matrix calc) (sec): 0.112333333333332
Grand common divisors of 400,000 pairs (recursion)__ (sec): 0.0776666666666657
Creation of a 500x500 Toeplitz matrix (loops)_______ (sec): 0.0173333333333332
Escoufier's method on a 45x45 matrix (mixed)________ (sec): 0.111999999999998
--------------------------------------------
Trimmed geom. mean (2 extremes eliminated): 0.0932888677080541
Total time for all 15 tests_________________________ (sec): 1.95733333333333
Overall mean (sum of I, II and III trimmed means/3)_ (sec): 0.0968018035139188
--- End of test ---
> On Oct 31, 2021, at 9:03 PM, Simon Urbanek <simon.urba...@r-project.org>
> wrote:
>
> Kieran,
>
> the reference benchmarks have been calibrated against vecLib/Accelerate BLAS.
> If you use reference BLAS it can be a lot slower. You can switch between
> reference BLAS and vecLib in R CRAN releases simply by switching the
> libRblas.dylib symlink (in $R_HOME/lib), e.g.:
>
> ls -l /Library/Frameworks/R.framework/Resources/lib/libRblas*dylib
> -rwxrwxr-x 1 root admin 226288 Oct 31 14:41
> /Library/Frameworks/R.framework/Resources/lib/libRblas.0.dylib
> lrwxr-xr-x 1 root. admin 21 Nov 1 09:56
> /Library/Frameworks/R.framework/Resources/lib/libRblas.dylib ->
> libRblas.vecLib.dylib
> -rwxrwxr-x 1 root admin 154368 Oct 31 14:41
> /Library/Frameworks/R.framework/Resources/lib/libRblas.vecLib.dylib
>
> (For recent R you'll need R 4.1.1 or higher)
>
> Cheers,
> Simon
>
> PS: reminder to everyone, please test R 4.1.2 RC - now are the last few hours
> to report anything!
>
>
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