Using symbolic subs call inside parfor loop
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I have the following pieces of code where the symbolic expressions to be evaluated are quite heavy.
classdef T4
properties (SetAccess = private)
% symbolic properties
xe % vector of symbolic variables
ge % vector or matrix of symbolic expressions depending on xe
% numeric properties
se % numeric vector or matrix
Xe % numeric values to be assigned
end
methods
% all other methods
function T = computeG(T);
T.se = double(subs(T.ge,T.xe,T.Xe));
end
end
end
nT = 5;
Tv(nT,1) = T4;
for i=1:nT
Tv(i) = computeG(Tv(i));
end
I do not get any gain, in fact it is worse if I use instead
parfor i=1:nT
Tv(i) = computeG(Tv(i));
end
3 个评论
Walter Roberson
2020-10-14
My tests show that one mupad kernel process is allocated for each worker. (The kernels use a lot less memory than I might have guessed. They also have about 39 megabytes of shared memory; I am not sure what that is used for.)
回答(1 个)
Raymond Norris
2020-10-13
Hi Antonio,
You're just not giving each of the workers enough work to do. Maybe you only need to run nT=5, but see what happens when you set it to 100, 200, or 1000. You should then start to see improvements.
Thanks,
Raymond
5 个评论
Walter Roberson
2020-10-14
My test showed that a separate mupad kernel is launched for each parfor worker, so there would be no need to rewrite the symbolic functions themselves: each worker gets its own (single-threaded) engine.
It is not possible to rewrite the internals of symbolic functions to use parfor / spmd, as the internals of symbolic functions live inside the MuPAD engine, either in the form of binary files are in the form of MuPAD code.
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