[ Skip to the content ]

Institute of Formal and Applied Linguistics Wiki


[ Back to the navigation ]

This is an old revision of the document!


Table of Contents

GPU at ÚFAL

This page summarizes which UFAL servers have some GPU card, and suggest basic diagnostic commands, paths to installed tools, etc., simply everything necessary at the very beginning of using GPU for experiments

Servers with GPU units

machine GPU cores GPU RAM Cuda nvcc path Theano TensorFlow Comment
titan-gpu GeForce GTX Titan Z 2 6 GB each core ? ? ? ?
twister1 …has burnt
twister2 GeForce GTX 570 1 GB 7.5 /usr/local/cuda/bin ? ?
kronos ?? ?? ? ? ? ? I don't have nvidia-smi in path

Installed toolkits

This should mention where each interesting toolkit lives (on a particular machine).

Basic commands

lspci
  # is any such hardware there?
nvidia-smi
  # more details, incl. running processes on the GPU
watch nvidia-smi
  # For monitoring GPU activity in a separate terminal (thanks to Jindrich Libovicky for this!)
  # See nvcc path in the table above for nvidia-smi location.
nvcc --version
  # this should tell CUDA version
  # ??? but where is it located once CUDA is installed?
 

[ Back to the navigation ] [ Back to the content ]