[Kaldi-developers] Training DNN with GPU is too slow

[Cemil D. <cem...@gm...>]

Hi,

I have a workstation which have 4 NVIDIA TITAN X GPU card.

I want to train a DNN model using egs/babel/s5c recipe. I am using
"run-2a-nnet-ensemble-gpu.sh" script.

When I use "run-2a-nnet-gpu.sh" script, the accuracy is below as compared
to sgmm-mmi case. Therefore I

Total amount of training data is 13 hours.
want to use "ensemble" version.

Training takes about 35 hours. I think, it is too slow.

Could give me any suggestion to speed up training?

İt is a little bit urgent for me.

Thank you.

-- 
Cemil Demir

cem...@gm...