The ROBIN API
By Vegard Søyseth
vegardds@ifi.uio.no
Technical support:
robin-engineer@ifi.uio.no
ROBIN API
The background
The local "Deep Learning Workstations"
The aim:
The local "Deep Learning Workstations"
The challenge(s) with the "Deep learning workstations"
Everybody was root which kinda works, but what about:
The solution
It solves:
The solution?
It doesn't solve:
So why have a ROBIN API?!
To access the workstations you need to go through the login cluster
ssh <username>@login.ifi.uio.no
If you want GUI applications:
ssh -Y <username>@login.ifi.uio.no
If you want port forwarding:
ssh -L <port>:<username>@login.ifi.uio.no:<port>
alias computing='/projects/robin/robin-engineer/workstation-status'
If you like the terminal like me, then add this to your .bashrc file:
If you want to do your own SQL
sqlite3 /projects/robin/robin-engineer/robin_ml_logging/logs.db
SQL example:
SELECT *
FROM logs
ORDER BY time_created ASC LIMIT 10;
In the web browser
Using curl or wget
curl https://api.robin.uiocloud.no/ws/md
curl:
wget --output-document=torre.jpg "https://api.robin.uiocloud.no/um/snapshot?printer=torre"
wget:
In conclusion:
In conclusion:
The aim for the ROBIN API is to increase the availability of ROBINS services
You can use the API in:
If you want to contribute:
One last thing...
[vegardds@dunder ~]$ nvidia-smi
Wed Feb 3 23:35:52 2021
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 460.32.03 Driver Version: 460.32.03 CUDA Version: 11.2 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 GeForce RTX 3090 Off | 00000000:01:00.0 Off | N/A |
| 30% 33C P8 18W / 350W | 301MiB / 24267MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| 0 N/A N/A 4195 G /usr/libexec/Xorg 18MiB |
| 0 N/A N/A 4265 G /usr/bin/gnome-shell 53MiB |
| 0 N/A N/A 5294 G /usr/libexec/Xorg 197MiB |
| 0 N/A N/A 5504 G /usr/bin/gnome-shell 28MiB |
+-----------------------------------------------------------------------------+
Links: