GPU vs. CPU efficiency

4 Ansichten (letzte 30 Tage)
Hossein
Hossein am 26 Feb. 2015
Beantwortet: Matt J am 26 Feb. 2015
I have a GPU on my computer that is "nvidia geforce gtx titan" (which is supposed to be powerful) but I'm not getting any improvements when I run the following code on GPU compared to CPU. It takes ~1.3 sec on both CPU and GPU to run. I was thinking maybe my Matlab does not recognize my GPU so I ran the "gpuDevice" command and it shows that it does recognize it. I was wondering if there is anything that I'm missing?
PS: My CPU is i5 3.2 GHz
clear; clc;
tic
A=gpuArray(rand(1000));
B=eig(A);
t1=toc
clear;
tic
A=rand(1000);
B=eig(A);
t2=toc

Antworten (1)

Matt J
Matt J am 26 Feb. 2015
You should time just the eig() calculation. Creation of data and transfering it to the GPU, as in
A=gpuArray(rand(1000));
is always fraught with overhead. You should also use gputimeit instead of tic/toc. Finally, you should try with different/larger matrix sizes so that you know the GPU is doing a meaningful level of work.

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