Introduction:

More information can be found on fc_linalg3D Python package dedicated web page.

This package was tested under:

• Linux

  • CentOS 7 (xxx) with Python 2.7.16, 3.5. compiled from source (www.python.org)
  • openSUSE
  • Ubuntu 18.04.3 LTS

• Apple MacOS

  • High Sierra with Python 2.7.14 (www.python.org)
  • Mojave
  • Catalina

• Microsoft Windows

  • Windows 10

Installation:

The fc_linalg3D Python package is not available from the Python Package Index. One has to get/download the fc_linalg3D Python package archive and install it by using pip command:

pip install -U --user fc_linalg3D-0.1.0.tar.gz

Testing :

There are benchmarking functions in the fc_linalg3D.benchs module named bench_*. For example, run the following code under Python:

from fc_linalg3D import benchs
benchs.bench_mtimes(dl=[3,3],dr=[3,4],slow=False)

The output of this code is:

#---------------------------------------------------------------------------
#    computer: hercule
#      system: Ubuntu 18.04 LTS (x86_64)
#   processor: Intel(R) Core(TM) i7-4800MQ CPU @ 2.70GHz
#              (1 procs/4 cores by proc/2 threads by core)
#         RAM: 15.6 Go
#    software: Python
#     release: 3.6.5
#---------------------------------------------------------------------------
# Left input is:
# -> 3D-array with (N,m,n)=(400000,3,3),  shape=(400000, 3, 3)
# Right input is:
# -> 3D-array with (N,m,n)=(400000,3,4),  shape=(400000, 3, 4)
#---------------------------------------------------------------------------
#date:2018/05/31 17:42:58
#nbruns:5
#numpy:         i4               f4                  f4           f4               f4           f4
#format:      {:8}         {:15.3f}            {:18.3f}     {:11.3e}         {:15.3f}     {:11.3e}
#labels:         N    mtimes_Vec(s)    mtimes_VecOpt(s)    cmpErr[1]    mtimes_Nat(s)    cmpErr[2]
            200000            0.112               0.110    0.000e+00            0.099    0.000e+00
            400000            0.220               0.222    0.000e+00            0.200    0.000e+00
            600000            0.332               0.337    0.000e+00            0.309    0.000e+00
            800000            0.450               0.444    0.000e+00            0.410    0.000e+00
          1000000            0.560               0.562    0.000e+00            0.517    0.000e+00