parfor

问题 I am trying to create random numbers in Matlab which will be different across multiple PBS jobs (I am using a job array). Each Matlab job uses a parallel parfor loop in which random numbers are generated, something like this: parfor k = 1:10 tmp = randi(100, [1 200]); end However when I plot my result, I see that the results from different jobs are not completely random - I cannot quantify it, e.g by saying the numbers are exactly the same, since my results are a function of the random

问题 I need to parallelize a code in order to save time. I have a loop internal to another loop, and I would like to parallelize the external one (because I think it this way the code is faster). My code looks like this: A = rand(1000,1); B = rand(1000,1); Biggers = zeros(1000,1000); parfor i = 1:size(A,1) for j= 1:1:size(B,1) if B(i,1) > A(j,1) Biggers(i,j) = A(j,1); end end end but if I run it this way I get the error: Error: The variable Biggers in a parfor cannot be classified. See Parallel

问题 I asked today a question about Parallel Computing with Matlab-Simulink. Since my earlier question is a bit messy and there are a lot of things in the code which doesnt really belong to the problem. My problem is I want to simulate something in a parfor-Loop, while my Simulink-Simulation uses the "From Workspace" block to integrate the needed Data from the workspace into the simulation. For some reason it doesnt work. My code looks as follows: load DemoData path = pwd; apool = gcp('nocreate');

问题 This is a part of my code in Matlab. I tried to make it parallel but there is an error: The variable gax in a parfor cannot be classified. I know why the error occurs. because I should tell Matlab that v is an incresing vector which doesn't contain repeated elements. Could anyone help me to use this information to parallelize the code? v=[1,3,6,8]; ggx=5.*ones(15,14); gax=ones(15,14); for m=v if m > 1 parfor j=1:m-1 gax(j,m-1) = ggx(j,m-1); end end if m<nn parfor jo=m+1:15 gax(jo,m) = ggx(jo

问题 This is a part of my code in Matlab. I tried to make it parallel but there is an error: The variable gax in a parfor cannot be classified. I know why the error occurs. because I should tell Matlab that v is an incresing vector which doesn't contain repeated elements. Could anyone help me to use this information to parallelize the code? v=[1,3,6,8]; ggx=5.*ones(15,14); gax=ones(15,14); for m=v if m > 1 parfor j=1:m-1 gax(j,m-1) = ggx(j,m-1); end end if m<nn parfor jo=m+1:15 gax(jo,m) = ggx(jo

问题 I have a kind of weird error in Matlab. metr = cell(1,length(paths)); parfor i = 1:length(paths) try a = read(path{i}); catch err continue; end metr{i} = dosomething(a); end The above code works fine as a normal loop and catches two errors and continues. If I make it a parfor loop, the moment it catches an error it goes totally crazy running the for loop again from the beginning and at the end crashing with an error of not finding the variable metr . However, if I rewrite it as follows I don

问题 I am looking to classify the values of a matrix. The following example works outside of a parfor loop, however it does not work when used within a parfor loop. What are my options to classify matrices, following the provided example, within a parfor loop? % Sample data Imag1 = [ 62 41 169 118 210; 133 158 96 149 110; 211 200 84 194 29; 209 16 15 146 28; 95 144 13 249 170]; % Perform the classification Imag1(find(Imag1 <= 130)) = 4; Imag1(find(Imag1 >= 150)) = 1; Imag1(find(Imag1 > 140)) = 2;

问题 I am working on a MATLAB program that users many other custom-made packages, often containing similarly-named files. So I have decided to use the custom package approach (http://www.mathworks.com/help/matlab/matlab_oop/scoping-classes-with-packages.html) to effectively get dot notation when referring to specific functions within the various packages I am using. For example, I have a package called pose that has this file structure: MATLAB % on the MATLAB path --- +pose --- detect.m --- MORE

问题 I have a 40000 by 80000 matrix from which I'm obtaining the number of "clusters" (groups of elements with the same value that are adjacent to one another) and then calculating the size of each of those clusters. Here it is the chunk of code. FRAGMENTSIZESCLASS = struct([]); %We store the data in a structure for class=1:NumberOfClasses %-First we create a binary image for each class-% BWclass = foto==class; %-Second we calculate the number of connected components (fragments)-% L = bwlabeln

问题 This question already has an answer here : parfor in matlab. sliced variable and nested loop (1 answer) Closed 3 years ago . I am trying to implement a very simple program with parfor but I get some errors. I saw nearly all of the SO questions for a possible duplication but non of them was similar to my question situation. The error I get is : Error: The variable log_likelihood_II_with_entropy in a parfor cannot be classified. My code is written below: em_iterations=10; users=5; log