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Table of Contents
GPU at ÚFAL
This page summarizes which UFAL servers have some GPU card, and suggests basic diagnostic commands, paths to installed tools, etc., simply everything necessary at the very beginning of using GPUs for experiments.
Servers with GPU units
| machine | GPU; Capability [cc] | cores | GPU RAM | Cuda | Theano | TensorFlow | Comment |
| titan-gpu | GeForce GTX Titan Z; cc3.5 | 2 | 6 GB each core | V7.5.17 | ? | ? | |
| twister1 | …has burnt | ||||||
| twister2 | GeForce GTX 570; cc2.0 | 1 | 1 GB | V7.5.17 | ? | needs cc3.0+ | |
| kronos-dev | Tesla K40c; cc3.5? | 1 | 12 GB | V6.5.12 | 0.6.0 | ? | |
| kronos-dev | Quadro K2000; cc3.0 | 1 | 2 GB | as above | as above | ? |
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 # nvidia-* are typically located in /usr/bin watch nvidia-smi # For monitoring GPU activity in a separate terminal (thanks to Jindrich Libovicky for this!) nvcc --version # this should tell CUDA version # nvcc is typically installed in /usr/local/cuda/bin/ theano-test # dela to vubec neco uzitecneho? :-) # theano-* are typically located in /usr/local/bin/