-
Notifications
You must be signed in to change notification settings - Fork 568
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Monte_Carlo_Euler_Scheme.ipynb #15
Comments
Hi Panagiotis, Could you please check if this is the case for float32 (I assume you are running for the default float64 dtype)? Geforce 1080 performance peaks for float32: Could you please report the running times as well? Thanks, |
@cyrilchim Sampling on a CPU. Note TensorFlow does automatic multithreading. Sampling from a 100-dimensional process. GPU vs CPU comparison |
@PBRAOS |
There is some problem on the reported time for GPU vs CPU on multiple dimensions 100.
I am using a single GPU and it is slower compared to my CPU multithreading. I am wondering why... The rest of the notebooks work as expected.
I am using a GeForce 1080 not a TESLA v100 GPU, but intuitively i would expect to have a similar speedup...
Any ideas why I get this behaviour ?
Regards,
pb
The text was updated successfully, but these errors were encountered: