MARCH Login.md

MARCH Course Computation Resources

Login

Command: ssh -J <username>@<login node> <username>@<GPU node>

Login nodes

• 140.112.51.229 (z-gotham.math.ntu.edu.tw)
• 140.112.51.228 (z-greenwich.math.ntu.edu.tw)

GPU nodes

• 140.112.51.222 (brillante.math.ntu.edu.tw)
• 140.112.51.223 (cantabile.math.ntu.edu.tw)

Example: ssh -J [email protected] [email protected]

The default password is the same as your username. Change the default password with yppasswd

Use Tensorflow

Load necessary modules:

• module load anaconda3/5.2.0
• module load cuda/10.0
• module load cudnn-7.6/10.0
• module load tensorflow-gpu/1.14.0

Run you Tensroflow Python code!

Use Chainer

Note: It only works on CPU. Load necessary modules:

• module load anaconda3/5.2.0
• module load cupy
• module load chainer

Select GPU

• Check which GPU is not in use with nvidia-smi (Remember the ID!)
• Run export CUDA_VISIBLE_DEVICES=<ID> to use the specific GPU

Use PyTorchKFAC

module load cuda/10.0 cudnn-7.6/10.0 torch
https://github.com/alecwangcq/KFAC-Pytorch.git
pip install networkx
pip install tensorflow-gpu
pip install torch torchvision

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