CAMd Summer School 2018¶
Summer school exercises in Jupyter notebooks¶
The Summer School includes a number of Projects, which are partly formulated as Jupyter Notebooks. In a Jupyter Notebook you are running the calculations on the DTU central computing facilities, but the output is displayed in your local browser.
Unfortunately, this requires some setup, which is described below.
The computer system¶
The DTU computer system (known as the ‘G-databar’ for obscure reasons) consists of a login node (named
gbarlogin) and a number of compute nodes. Some of the compute nodes are reserved for batch jobs, some allow interactive jobs. You will be running a Jupyter Notebook server on an interactive compute node, this server will run the Python jobs and will allow the browser on your laptop to see the output. The latter unfortunately requires bypassing a firewall which would normally prevent you from accessing the compute nodes directly from the summer school site.
The instructions depend on whether your laptop runs Windows, MacOS or Linux - the latter two are very similar in this context.
Mac and Linux users¶
Choose a project according to your interests. The projects contain brief descriptions of what aspects of GPAW you learn from them.
- Introduction to Python and Jupyter notebooks
- Magnetism in 2D
- Machine Learning