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Thanks @rarygit for your message. I don't think we will have a different execution time if we use Pythran or Numba since the Cython version is already optimized. But indeed, it would be nice to be able to make a comparison! |
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@gouarin, that's an interesting comment you make regarding Cython optimisation. I am new to this so cannot go further than the readings I have looked at earlier today. As to comparisons, it would seem that Pierre Augier's team work on Transonic might be interesting.
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Looking forward to seeing Pythran implemented in pylbm.
Stumbled across this performance comparison published by Augier et al. 2021:
"Reducing the ecological impact of computing through education and Python compilers"
https://www.nature.com/articles/s41550-021-01342-y.epdf?sharing_token=D6WDBKpfOOcWHERGZz4AbtRgN0jAjWel9jnR3ZoTv0Pc7q-oiK1_CxsdnLnqzBdV9-Xj6CQQ98qvVv9fAgz7ySxWpoPJr5C4XgOXuetbs26fddzM8jDAaP_RUyzuPDdOG_uCV2N67FsOGrLM5IQku9K2si3Kw7cSPET-ES0qGQc%3D
Pythran on 12 cores and 6 cores - impressive 'Time to solution'!
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