Parfor/spmd with random numbers

In my code I want to run a function on each worker in parallel. The function is mexified C++ and (simply put) returns an image consisting of pixels with random intensity. Something like this:

parfor i = 1 : numiters
  output(:,i) = myFn()
end

The trouble is that each output(:,i) is identical! Running the functions serially, like so:

for i = 1 : numiters
  output(:,i) = myFn()
end

there are no troubles. Each output(:,i) is different. I thought that each worker is initialized with a random seed -- but I guess not. It seems that they are all initialized to the same seed. Any tips on how to overcome this issue?

Many thanks.

[Walter Roberson]

You are correct that each is initialized with a random seed -- though in some cases client and worker may have a different random number generator; see http://www.mathworks.com/help/distcomp/control-random-number-streams.html

But how is your code generating the random values?

[Edric Ellis]

Walter is exactly right that MATLAB's built-in random number generation functions like rand and randn are seeded differently on each worker, and I would recommend using these functions to generate random numbers. If you're using a C function to generate the random numbers, you need to take account of how that function is being seeded. If, for example, it is seeded using the start time of the process, then you'll get the behaviour you observe.

[Brendan Hamm]

Cleve Moler had a nice blog post a while back about Parallel Random Number Generators.

[Walter Roberson]

These days, the appropriate link for help seems to be https://www.mathworks.com/help/parallel-computing/control-random-number-streams-on-workers.html