How to cut a sparse gpuArray

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Kevin Bender
Kevin Bender 2016-8-31
回答： Matt J 2016-8-31
I am trying to save memory on my GPU by saving sparse data, but matlab gives this error whenever I try to cut a sparse gpuArray in the following way.
Error using gpuArray/subsref
Sparse gpuArrays are not supported for this function.
Ex.
A=gpuArray(sparse(randi([0,1],2000,2000)));
B=A(1:50,:);
Is there any way to cut sparse gpuArrays, or am I stuck transferring data between my CPU and GPU?
NOTE: This is a piece of example code. Although this piece of code will not have memory benefits from a sparse array, my application will.

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采纳的回答

Matt J
Matt J 2016-8-31
Here's a workaround equivalent to B=A(1:50,:), but I do agree it seems unnecessarily awkward.
B = gpuArray.speye(50,2000) * A;

更多回答（1 个）

Sean de Wolski
Sean de Wolski 2016-8-31
For the sparsity level of that matrix ~50%, the sparse array is much bigger than a regular array:
x = randi(1,100,100);
xs = sparse(x);
whos x xs
Name Size Bytes Class Attributes
x 100x100 80000 double
xs 100x100 160808 double sparse
You're better off just using a regular array. And you can generate randi directly on gpu so it doesn't need to be transferred:
gpuArray.randi(1,100,100)
  1 个评论
Kevin Bender
Kevin Bender 2016-8-31
This is just an example, not the actual code. In my actual code, I am storing a sparse adjacency matrix that has less than 5% nonzero elements.

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