using eig to find the eigenvalues and eigenvectors of a large matrix on GPU

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Qiu Xu 2021-10-23

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评论： Matt J 2021-10-26

Hi,

I have matrix A with 7936*7936 dimensions. I use eig to find its eigenvalues and eigenvectors, the command is [vect,eigen]=eig(A). But if I perform this calculations on GPU, it is more slower than cpu. My code on GPU is as follows

A=rand(7936,7936,'gpuArray');

[vect,eigen]=eig(A);

I do not know why is this calculations on GPU is so slowly? Are there some other good methods to accelerate the eig on GPU?

Thanks very much!

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Walter Roberson 2021-10-23

For your purposes, could you switch to single precision?

Qiu Xu 2021-10-23

Thanks for your reply. I have tested for swithc the matrix to single, but is also very slowly, it looks like the GPU does not work, and the calclulation is still performed on CPU.

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采纳的回答

Matt J 2021-10-23

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编辑：Matt J 2021-10-23

It might be a question of your hardware. On the GTX 1050 in R2020b, I see only about a 10% speed-up in double precision and about 50% in single-precision. On the GTX 1080 Ti in R2020a, I see a factor of 2 speed-up at both precisions.

gd=gpuDevice;

Ac=rand(2500);

Ag=gpuArray(Ac);

tic;

[vect,eigen]=eig(Ac);

toc;

tic;

[vect,eigen]=eig(Ag);

wait(gd)

toc

Elapsed time is 9.484250 seconds.

Elapsed time is 5.183906 seconds.

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Walter Roberson 2021-10-26

If gpuArray(1) returns a value, then MATLAB detected your GPU and an acceptable driver.

You might want to look at gpubench in the Add-On Explorer

Matt J 2021-10-26

How to check the memory used by the GPU data?

gpuDevice() will display that.

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