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Scipy.sparse.linalg.spsolve Surprising Behaviour For Large Sparse Matrices On Linux Systems

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I am computing the solution of a linear system Ax=b with A a large (typically 200,000 lines and columns for the associated dense matrix) sparse matrix and b a sparse matrix of abou

Solution 1:

Well, after thorough investigations, I am now convinced that the issue I had is related to the fact that Linux Mint (Rosa 17.3) may not be optimized for the most recent processors.

The comparisons I mentioned in the updates of my post underlined that the software installation was correct. I then installed Fedora 23 on my PC, installing sequentially:

  • libblas
  • python
  • python-scipy

Then I ran the exact same code with the exact same matrices and there was no issue whatsoever: RAM consumption was limited to about 7 GB, similarly to what was observed on Windows systems.

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