GPU vs. CPU efficiency

4 visualizzazioni (ultimi 30 giorni)
Hossein
Hossein il 26 Feb 2015
Risposto: Matt J il 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

Risposte (1)

Matt J
Matt J il 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.

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by