CINEMAX X (Course 47511)

General
1

Welcome, CINEMAX Participants!

We’re glad to have you here on the Qim Forum.
This space is dedicated to discussions related to the Qim Center, including the qim3d library and our web platform for 3D data analysis.

This topic is specifically for sharing information and conversations about the CINEMAX Summer School. It is publicly available, so both participants and the organizing team are welcome to post here.

:left_speech_bubble:
For real-time communication, please use the CINEMAX chat channel:
https://forum.qim.dk/chat/c/cinemax/12

We look forward to your contributions and hope you enjoy the discussions!

Program

image
image1487×1031 138 KB

2

Helpful links

3

Jupyter Launcher

You can easily start a Jupyter Notebook for your work by using the Jupyter Launcher on the Qim platform:
https://platform.qim.dk/tools/jupyter-launcher

CINEMAX Usage Limits

During the CINEMAX summer school, the following resource limits apply:

  • Up to 4 CPUs

  • Up to 32 GB RAM

  • 1 GPU with 8 GB VRAM

  • Maximum wall time: 3 hours

  • Must use the c47511 queue

Predefined Configurations

You can launch notebooks with ready-to-use setups:

Troubleshooting

If your notebook takes longer than two minutes to start, please refresh the page and try again.

For more details, check the full tutorial:
https://platform.qim.dk/tutorials/jupyter_launcher

4

Data access

All data related to the course will be located at

/dtu/3d-imaging-center/courses/47511/

Which can be accessed using Filestash: https://filestash.qim.dk/files/dtu/3d-imaging-center/courses/47511/

Workspace

Please use the workspace directory for your project files. Keep the directory organized by creating descriptive sub-folders (your name, group number, etc).

File permissions can be adjusted using Filestash:

image
image887×257 32.7 KB

image
image470×331 11.7 KB

5

Pydidas

  1. Go to Thinlinc: https://thinlinc.gbar.dtu.dk/

  2. Log in using your DTU credentials

  3. Open Terminal:

    image
    image576×596 48.3 KB

The following commands must be run on the terminal window:

  1. linuxsh -X
  2. source /dtu/3d-imaging-center/QIM/conda/miniconda3/bin/activate
  3. conda activate pydidas
  4. pydidas-gui