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GF(p^m)
array structure
#177
Labels
performance
Affects speed/performance
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Potentially create a custom dtype for finite field types. For https://numpy.org/devdocs/reference/generated/numpy.dtype.subdtype.html# |
This would cause too many issues. Extension fields are fast enough. |
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Consider making N-D
GF(p^m)
arrays actually (N + 1)-D arrays overGF(p)
under the hood. This would require intercepting indexing calls. This would prevent the continualint_to_poly()
andpoly_to_int()
calls in the arithmetic functions, which I believe take the most time.Intercepting broadcasting routines will probably be needed as well.
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