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Parallelise assignment functions #78
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Possible with numba pthreads, to maintain optimisation of each process? Numba seems to be incompatible with multiprocessing at the moment. I phrase as a question, as I've been trying without anything to hold up as evidence of this being possible. |
Functioning example for refined models: 8cb08c9. |
Wrong commit - see 513729a. Pthreads shares read-only so no good for matrix translation. |
Just recording a thought - in models.py, plot re-assigns sampled points - currently not multi-threaded. |
Need to think about this with regard to numba: https://numba.pydata.org/numba-doc/latest/user/faq.html. |
In
models.py
can do chunks at a time with sharedmemThe text was updated successfully, but these errors were encountered: