Segmentation error during parfor loop (remote linux server)

조회 수: 9(최근 30일)
I am using a Linux server with 64 GB RAM and 16 CPUs to run multiple repetitions of a MATLAB function in parallel (by using the "parfor" command); let's define this function as [Output]=myfunc(a,b,c). In particular, for "n" iterations, I have to calculate the Output of a "population" of 16 "agents", in which each agent has slightly different values of a,b,c.
Specific agents (i.e values of a,b,c) cause a worker to crash due to segmentation violation (I attach the related crash dump file).
If I run only one of these agents in a parallel pool with just one worker I get the same outcome, whereas if I don't use "parfor" the code works without any problem. Moreover, if I perform the same simulation on my Windows PC I get no error even when using the parallel pool.


Daniel Duarte
Daniel Duarte 2022년 7월 6일
Hello Stefano,
The main requirement of parfor is to allow Matlab to work with sections of the problem, in a vectorised fashion. Given a population of agents pop(i), we need to vectorise the output as output(i). This way we allow the parfor loop to work in parallel on each section of the problem.
A possible parfor application would be:
% initialize inputs and output
for i=1:16
pop(i).a = rand;
pop(i).b = rand;
pop(i).c = rand;
% implement parfor
parfor i=1:16
function sum = sumABC(A,B,C)
sum = A+B+C;
See more details at:

Edric Ellis
Edric Ellis 2022년 7월 8일
The crash dump suggests the workers are crashing inside ipqpdense. This problem should be fixed if you upgrade to R2020a or later.

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