Clear Filters
Clear Filters

GpuDeviceCount fails to report the correct number of GPU devices (8, Tesla K80), how can I resolve this?

3 views (last 30 days)
I am having a problem with a 8 GPU Nvidia Tesla K80 system. It is a shared resource between multiple users which log on to the same machine. I have two other versions of Matlab successfully running on two of the gpus of the K80 system but when I run gpuDeviceCount in a freshly opened version of Matlab ...I am getting an error... looking inside gpuDeviceCount at the error that parallel.gpu.GPUDevice.count gives: parallel:gpu:device:UnknownCUDAError An unexpected error occurred during CUDA execution. The CUDA error was:CUDA_ERROR_OUT_OF_MEMORY
Does anyone know what could be occuring and how I can resolve this?
System: Windows Multipoint Server 2012 Nvidia driver ver: 23.21.13.8819 Intel Xeon 2698 Tesla K80 - 8 GPUS
  1 Comment
Joss Knight
Joss Knight on 26 Dec 2017
You should contact tech support about this issue since it sounds like your system is incorrectly configured and/or installed. They can give you some basic test code to run to make sure that the CUDA driver is functioning and can see your cards.

Sign in to comment.

Answers (0)

Community Treasure Hunt

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

Start Hunting!