ParFor - how to rewrite For loop

Is it possible to rewrite the following code to that the main loop (a 1:NumData) use Parfor and allows the main loop to be processed in parallel. The core prpoblem is the need to access the 'a' variable which is state dependent and therefore excludes the use of Parfor.

Suggestions would be appreciated.

row = -1; high = 1;
NumData = 100000;

% start timer
tic

% pre allocate memory
RandData= ones(1:80,1:NumData);

% make random numbers

for a=1:NumData  % <-- use ParFor ??
    for b=1:80
        RandData(a,b) = round(low + (high-low) * rand);
    end
end
% end timer
toc

Answer 1

[Daniel Shub]

Have you tried it? It works fine for me

parfor a=1:NumData
  for b=1:80
    RandData(a,b) = round(low + (high-low) * rand);
  end
end

[adam cox]

I tried this, but it did not work as I think that in parallel mode (using matlabpool) the parallel processing has no way of what the variabel 'a' is globally when numerous instances are being run, unless they all just mimick oneanother or in fact the Parfor is not being run in parallel.

How many workers were involved in the matlabpool?

[Walter Roberson]

I don't see the state dependency? What you have posted looks like straight-forward use of parfor to me.