Python Parallel Process Matrix Computation -

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i have extremely large matrix files (2k x 14k pixelated matrix) need processed. computation follows.

a sub-matrix parsed ( 7 x 7 ) , eigenvectors , eigenvalues computed , sub matrix shifts on , computes again , again until entire matrix computed. there functions conduct calculations matrix shift simple loop.

my question this: there built in parallel processing function allow me compute faster while not having re-write current code? skeptical there function out there inherently "understands" computation this.

any or insight particular type of built in function or general advice appreciated.

cheers! pie


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