why use gpu training the performance is worse than cpu

3 次查看(过去 30 天)
Hi,
I tried the following options for training a fitnet:
trainedNet=train(net,X_',Y'); %59 Iterations,Performance 115, 100s
trainedNet=train(net,X_',Y','useParallel','yes');%59 Iterations ,Performance:115,158s
trainedNet=train(net,gpuArray(X_'),gpuArray(Y')); %628 Iterations,Performance:649, 14s
trainedNet=train(net,X_',Y','useGPU','yes');%628 Iterations,Performance:679, 12.6s
trainedNet=train(net,X_',Y','useGPU','only');% 628 Iterations,Performance:679, 12.6s
I fixed the random seed.
I want to know why using GPU it took much more iterations but achieve worse performance?
Thanks
  1 个评论
Yunyu Hu
Yunyu Hu 2020-3-2
编辑:Yunyu Hu 2020-3-2
I found the major reason, because I used the trainfcn "trainlm", which is not supported by GPU and when use GPU matlab will change it automatically to "trainscg".
But then it comes the next question: when I use " trainscg" for bothe CPU and GPU, the Performances are different:
trainedNet=train(net,X_',Y','useGPU','only‘) --> 5000Itr,Performance 192, 232s
trainedNet=train(net,X_',Y‘); --> 5000Itr, Performance 154, 186s
What is the reason for this?

请先登录,再进行评论。

采纳的回答

Sai Bhargav Avula
Sai Bhargav Avula 2020-3-26
Hi,
First I would like to mention that GPU's are faster for large matrices.
I would also like to suggest two answers that explains GPU performance
Hope this helps!

更多回答(0 个)

Community Treasure Hunt

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

Start Hunting!

Translated by