i7-8700 @ 3.2GHz, 32GB
Nvidia Quadro P200 5GB
1TB SSD system drive
1TB SSD dataset drive (mounted at
Ubuntu 20.04; CUDA 11.4; cuDNN 8.2.2
R 4.1.0; R packages: MRAN 2021-05-19
Python 3.8.10; Tensorflow 2.5.0 (GPU enabled)
Note: Configuring CUDA/cuDNN/Tensorflow is fiddly; this Medium post by Harish Masand from August 2021 was helpful.
/mnt/datasets/objectnet (190GB) - The ObjectNet image set.
Be on campus, or connect to the campus network via the VPN.
Log on via SSH:
email@example.com. If you want to be able to e.g. view images, you can
ssh -X firstname.lastname@example.org use the
In order to use Tensforflow, you must edit your
.bashrc file. Each user must do this once. Specifically, add this to the end of your file:
export LD_LIBRARY_PATH=/usr/local/cuda-11.4/lib64:$LD_LIBRARY_PATH export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
save, exit, and then
Remote reboot via SSH was set up following these instructions concerning
dropbear-initramfs. Currently, only AW has the SSH key required to gain access to this functionality, and only AW knows the password to decrypt the drive once access is granted. Send an SMS to AW in case of emergency.
There are three steps
ssh email@example.com -p 8022 -i ~/.ssh/id_rsa, wait until you see the “please unlock” dialog including the final colon, type in the password that was used to encrypt the drive.
Now you can log in normally, as per above.