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Parallelization of matrix definiton
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In my project I deal with matrices using up almost all the memory available. Logically the matrix is divided into blocks which can be computed independently from one another. Straight forward use of parfor as follows
parfor a = 1:N,
[M1] = func(a,par1, par2, par3);
N(i1(a):i2(a), i3(a):i4(a)) = M1;
end
does not work (the code is an example to illustrate the idea). Is there a way to establish parallel computing of these blocks?
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Jill Reese
el 14 de Feb. de 2014
Without more context for your problem I cannot be sure, but you may find using distributed arrays inside an spmd block to be more useful than parfor in this case.
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