[pythran] Numpy Benchmarks

  • From: serge Guelton <serge.guelton@xxxxxxxxxxxxxxxx>
  • To: pythran@xxxxxxxxxxxxx
  • Date: Sat, 31 May 2014 16:46:54 +0200

Hi pythraners,

Here is the result of a recent run of numpy-benchmarks. Enjoy!

                          numba parakeet pypy  python   pythran
      allpairs_distances    0.0     1.78  0.0    38.3    *1.71*
allpairs_distances_loops   57.7     1.78  0.0    50.3    *1.66*
            arc_distance   1.37      1.6  0.0  *1.36*      1.84
                    conv 2730.0     2.03  0.0  1900.0    *1.86*
             create_grid   4.06      0.0 10.4    3.93    *3.85*
                cronbach   1.65      0.0  0.0    1.64    *1.49*
               diffusion   24.2     21.2  0.0    22.5    *3.99*
                  evolve    0.0      0.0  0.0    5.82    *3.53*
                    fdtd    0.0      0.0  0.0  1620.0    *1.85*
                     fft    0.0      0.0  0.0    24.9    *1.21*
                grouping    0.0      0.0  0.0     2.1   *0.954*
                 growcut   7.49   *2.19*  0.0  1850.0      5.88
                  harris   5.28     5.06  0.0    5.55    *2.79*
                 hasting 0.0119   0.0585  0.0 0.00884 *0.00129*
                 hyantes  287.0   *1.87*  0.0   247.0      2.46
                   julia  223.0     2.94  0.0  2680.0    *2.59*
                  l2norm   5.79     12.4  0.0    6.15     *1.2*
            local_maxima    0.0      0.0  0.0    58.6    *1.32*
                  mandel    4.5      0.0 17.7   452.0    *4.33*
            multiple_sum   3.22     8.16  0.0    3.01    *1.13*
                pairwise    8.9      3.7  0.0  3780.0    *3.58*
           periodic_dist   2.08      0.0  0.0    1.78    *1.14*
               repeating   1.21      0.0  0.0    1.26   *0.292*
          reverse_cumsum   2.62      0.0  0.0    2.61    *2.36*
                   rosen   20.1     5.73 34.2    14.8    *1.39*
               slowparts    0.0     1.23  2.6    5.81    *1.11*
               smoothing   4.89     6.23 8.24   941.0    *4.83*
         specialconvolve    0.0      0.0  0.0  *10.2*       0.0
             vibr_energy   2.45     2.45  0.0    2.57    *1.96*
                    wave    0.0      0.0  0.0    52.0    *1.23*
                   wdist   89.6   *1.45*  0.0    82.8       2.1


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