connector not running message while executing parallel code on cluster
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I am running the following test code on a cluster.
clc;clear all;
x=32;
poolobj=parpool(x);
A = zeros(32, 11);
tic
parfor (i = 1:32,x)
A(i,:) = compute(A(i,:),i);
end
toc
disp(A);
The function file is a separate file
% This function now contains the body
% of the parfor-loop
function A = compute(A,i)
for j = 1:11
A(j) = i + j - 1;
end
end
Output- It displays the A matrix but it gives a message afterwards
>> >> >> message with properties:
Identifier: 'MATLAB:connector:connector:ConnectorNotRunning'
Arguments: {}
Is the for loop actually working on 32 cores ? It does give a message that a parallel pool of 32 workers has been started. Although, the time taken for lesser cores is smaller. What does this message imply ?
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Prem Ankur
2018년 12월 21일
Yes, the code will run on the 32 workers in the parpool. Total time taken depends on the length of time taken by the compute function in the code and then the overhead of sending the data to the 32 workers and receiving the results. Overhead time can be greater than the benefit of parallelizing to the 32 workers. Doing something more computationally intensive will show better scaling properties.
I am not sure about the connector message. Can you share your startup.m or matlabrc.m file?
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