codistributed array, parallel computing

Hello!
I have to compute a large matrix of data. For example: for i=1:3E5 A(:,i) = ... end Do to this I use the parallel computing toolbox. The amount of memory is in my opinion very large, because the array A is copied to every worker. If I define A as a codistributed array, the for loop becames very slow (I use for drange). Are there any suggestions to speed up this computation? Thx!

1 个评论

Just to check: you _are_ preallocating A, right?

回答(1 个)

Could you post the code that you are currently using? It would be easier to make suggestions based on what you have already tried.
Thanks,
Jill

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2021-8-20

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