What do I need to install to have numpy do matix multiplication on multiple threads?

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Here are things that might be relevant though I'm not sure how exactly.

Not sure how to interpret the ldd outputs but people keep referencing them in answers so here they are:

ldd /usr/lib/libopenblas.so
    linux-vdso.so.1 =>  (0x00007fffe23fe000)
    libm.so.6 => /lib/x86_64-linux-gnu/libm.so.6 (0x00007fcded57f000)
    libpthread.so.0 => /lib/x86_64-linux-gnu/libpthread.so.0 (0x00007fcded361000)
    libc.so.6 => /lib/x86_64-linux-gnu/libc.so.6 (0x00007fcdecf9a000)
    /lib64/ld-linux-x86-64.so.2 (0x00007fcdef0e2000)

ldd /usr/lib/libblas.so.3
    linux-vdso.so.1 =>  (0x00007ffffcc83000)
    libm.so.6 => /lib/x86_64-linux-gnu/libm.so.6 (0x00007f41e4336000)
    libpthread.so.0 => /lib/x86_64-linux-gnu/libpthread.so.0 (0x00007f41e4118000)
    libc.so.6 => /lib/x86_64-linux-gnu/libc.so.6 (0x00007f41e3d51000)
    /lib64/ld-linux-x86-64.so.2 (0x00007f41e5e99000)

Also, here are the runs on the libblas.so I know I shouldn't have ATLAS but no idea what I need to do for multithreading

update-alternatives --config libblas.so
There are 3 choices for the alternative libblas.so (providing /usr/lib/libblas.so).

  Selection    Path                                   Priority   Status
------------------------------------------------------------
* 0            /usr/lib/openblas-base/libopenblas.so   40        auto mode
  1            /usr/lib/atlas-base/atlas/libblas.so    35        manual mode
  2            /usr/lib/libblas/libblas.so             10        manual mode
  3            /usr/lib/openblas-base/libopenblas.so   40        manual mode

Press enter to keep the current choice[*], or type selection number:

I'm looking for a simple solution.

The reason I believe I don't have multithreading support is because in top it never goes above 100%.

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