Hi all,

Recently I found running two or more theano programs on the same GPU will 
decrease their speeds significantly (0.5x-0.7x slower for each program).

I am confused about this. Since my theano program takes about 470MB GPU 
memory. The total memory of Tesla K40m 
GPU is 11519MB. It would be waste of memory resources when I have to run 
one program on one GPU. 

My current guess is the theano program needs a lot of CUDA cores to 
compute, and there might be not enough CUDA cores to allocate when running 
two 
programs.

Could you explain the reasons and provide solutions? 

Thanks,
Huijia




-- 

--- 
You received this message because you are subscribed to the Google Groups 
"theano-users" group.
To unsubscribe from this group and stop receiving emails from it, send an email 
to [email protected].
For more options, visit https://groups.google.com/d/optout.

Reply via email to