hardware resources for training deep neural network

11 次查看（过去 30 天）

Andrea Bonfante 2020-2-10

评论： shivan artosh 2020-10-5

Hello,

I would like to perform training using multiple CPU, for each call of the function trainNetwork().

According to the documentation, I have specified in ExecutionEnvironment = 'parallel'; to use the local parallel pool.

However, during training, the current trace appears "Training on single CPU", which I suppose indicates that is using only one CPU.

Is it supported multiple CPU training? If so, do you have any suggestion on how to modify the parameters to support multiple CPU training?

Is there any conflict with parfor instruction?

Thanks in advance for your help.

All the best.

Srivardhan Gadila 2020-2-13

Please refer to the following link.

Srivardhan Gadila 2020-5-5

I would suggest you to set ExecutionEnvironment = 'parallel' in trainingOptions and train the network instead of parfor.

shivan artosh 2020-10-5

Hello Mr.

i need to use multiple CPU instead of hardware resource: single CPU in order to speed the network up, so do you have any suggestion for me?

thanks

在 Help Center 和 File Exchange 中查找有关 Parallel and Cloud 的更多信息

R2019b

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

Translated by