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Use SymEngine to improve performance of symbolic tensor calculus
See original GitHub issue🐞 Problem
I am opening this issue for tracking progress and discussion.
Some functions for symbolic tensor calculus are slow, for example the kerr_christoffels in the example page takes a noticeable time to complete.
SymEngine can be used to replace SymPy to improve the performance. In support of this, I did a simple benchmark of original christoffels function in utils and replacing functions in SymPy with SymEngine. I see a 4x performance boost which includes the overhead introduced by type conversion between SymPy and SymEngine.
This issue is related to #70 . Consider switching to SymEngine when refactoring and extending the codebase.
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Issue Analytics
- State:
- Created 4 years ago
- Comments:11 (11 by maintainers)
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@shreyasbapat The plot you want : )
And about this,
If they are doing it, why should we even care? 😉