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Sparse Truncated SVD Benchmark (Python)

Key findings:

  • sparsesvd is really slow and thus was not considered for the graphs
  • There is almost not differnce between the implementation of randomized SVD with Gensim SVD and Scikit-Learn SVD
  • MKL is faster than OpenBlas for the randomized SVD (not clearly vissible in the graphs, sorry for this)
  • Randomized SVD is faster as the problem gets more difficult

Setup

Done on i3 8100, Python 3.6, Ubuntu 18.04, average of 5 runs, with the recent version of OpenBlas and MKL as of 18th June 2019.

Check out the accompanying notebook.

Results

OpenBlas MKL

Acknowledgements

Based on previous work:

License

MIT.

Sponsoring

This work was created as part of a project that was funded by the German Federal Ministry of Education and Research.