SPMD in matlab - how to store the returned data?

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Noam 2015-5-3

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https://ww2.mathworks.cn/matlabcentral/answers/214837-spmd-in-matlab-how-to-store-the-returned-data

评论： Teng Zeng 2020-3-6

Hi,

I use SPMD for performing multi-data curve fitting with the optimization toolbox in MATLAB. I have n workers and 2n curves to fit. I use the following code to do the curve fitting in parallel:

    modelfun = @(sig, f) normax( exp((-(time).^2)/sig.^2) .* sin( (2*pi*f);
    costfun = @(Y) (@(x) sum( ( Y' - modelfun(x(1),x(2),x(3),x(4))).^2 )); 
    numIterD = distributed( (1:2*n) );
    spmd
            numIterLP = getLocalPart ( numIterD );
            for n = numIterLP(1):numIterLP(end)      
                fprintf('working on %d''th curve ...\n', n);    
                costIter = costfun(normax( dataArray{n} ));
                [p_est] = geneticAlg( numcoeff, LowConstr,UppConstr, costIter);
                estData(n,:) = modelfun( p_est(1), p_est(2), p_est(3), p_est(4)); 
                % Evaluating goodness of optimization and fit        
                res(n,:) = normax(dataArray) - estData';  
                goodness(n) = iGoodnessStructure(estData,[],res,dfe,N);
            end       
     end

I get back 3 Composite arrays with size of the number of workers - n, instead of 2n parameter sets. I believe that the code return only the last calculation for each local part so half of the data gets lost. How can I index the output so all results are kept?

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Teng Zeng 2020-3-6

Hi there, has this problem been resovled? I ran into exactly the same issure. I was able to retrieve value by indexing the worker from the returned composite object. However, the data recorded is only the last run of the program, which is not very ideal.. Thanks!

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