Getting gpuArray output type not currently implemented
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I'm trying to write a MATLAB function that will run on an NVIDIA GeForce GTX 660. I'm using MATLAB R2013b and have the parallel toolbox installed.
I tried to model my code using the paralleldemo_gpu_stencil demo.
I have an array of samples (15000x1) and I want to add values to slices of the samples, where I may have 1,000,000 values to add. I have a nested function that I call using arrayfun, that I loop through for the number of values I want to add. I'm getting the error "gpuArray output type not currently implemented". on the arrayfun line.
1 %Inline function
2 function X = addValue(slice)
3 X = (samples + values) * slice;
4 end
5 samples = gpuArray(samples); % previously defined
6 zeroArray = zeros(size(samples));
7 for ii=1:numberValies
8 slice = zeroArray; % Use as a mask to apply to only those indices I care about
9 startSlice = slicePos(ii);
10 slice(startSlice:startSlice-1) = ones(size(startSlice:startSlice-1,1));
11 samples = arrayfun(@addValue, slice);
12 end
I'm getting the error on line 11. Any help would be appreciated.
2 Comments
Ashish Uthama
on 14 Nov 2013
Peter, could you try updating your code sample to something anyone could run to try and reproduce this error? (I tried to make it runnable, but then it didnt reproduce your message)
Accepted Answer
Edric Ellis
on 15 Nov 2013
The problem here is that 'slice' is not a gpuArray, and so the arrayfun call is executing on the CPU. The problem occurs because the CPU version of arrayfun cannot return the gpuArrays being produced by your 'addValue' function. You need to make 'slice' be a gpuArray to fix this.
It's hard to tell from your reproduction here, but there may very well be other things that you need to change here to get the best performance on the GPU. For instance, 'addValue' currently redundantly calculates the sum "(samples + values)"; line 10 could simply state "slice(startSlice:startSlice-1) = 1;"; ...
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