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Editorial Team
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Asked: 2026-06-06T14:53:31+00:00

I’m computing a function f ( x ) = exp(- x ) in Matlab,

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I’m computing a function f(x) = exp(-x) in Matlab, where x is a vector of scalars. The function is computed on GPU, e.g.

x_cpu = [4 5 11 1];
x = gpuArray(x_cpu);
f = exp(-x);

then the result would be:

f = exp(-[4, 5, 11, 1]) = [0.183, 0.0067, 1.6702e-005, 0.3679].

Note that f(x(3)) = f(11) = exp(-11) = 1.6702e-005 = 0.000016702, which is a pretty small value. So, I would like to avoid computing the function for all x(i) > 10 by simply setting f(x(i)) = 0.

I can probably use the sparse matrix representation for x. However, the Parallel Computing Toolbox does not support operations on sparse matrices on GPU.

How would you approach this?

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1 Answer

  1. Editorial Team

    While the Parallel Computing Toolbox does not support sparse matrix operations on the GPU, Jacket does. So one possible approach is to simply use the different tool.

    Disclaimer is that I work on Jacket, but I really do think it would be beneficial to you on this since it supports the things you want to do and that PCT does not do, and for reasons here.

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