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I've tested your library, it's brilliant. I've been trying to speed up a process of looking at many points and getting the nearest neighbours,
I've tried to pass the grispy object to each thread/process and I've had a couple of issues, namely the script doesn't run when I try to do that.
Just as a quick check, is there a specific method I should use for parrelleizing calls to a grispy object?
thanks again!
The text was updated successfully, but these errors were encountered:
Futures only works for io, and is useless for computation.
The only viable option is to use some kind of multi-core parallelism. The
Joblib package is one candidate, or use something like dask with a
parallel backend.
Note: concurrency != parallelism
El mar., 4 de may. de 2021 09:29, eokeeffe ***@***.***>
escribió:
I've tested your library, it's brilliant. I've been trying to speed up a
process of looking at many points and getting the nearest neighbours,
I've tried to pass the grispy object to each thread/process and I've had a
couple of issues, namely the script doesn't run when I try to do that.
Just as a quick check, is there a specific method I should use for
parrelleizing calls to a grispy object?
thanks again!
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.
I've tested your library, it's brilliant. I've been trying to speed up a process of looking at many points and getting the nearest neighbours,
I've tried to pass the grispy object to each thread/process and I've had a couple of issues, namely the script doesn't run when I try to do that.
Just as a quick check, is there a specific method I should use for parrelleizing calls to a grispy object?
thanks again!
The text was updated successfully, but these errors were encountered: