From ALICE Documentation
Revision as of 11:59, 6 October 2020 by Deuler
This wiki is the main documentation source for information about the Academic Leiden Interdisciplinary Cluster Environment (ALICE) cluster. ALICE is the research computing facility of the partnership Leiden University and Leiden University Medical Center. It is available to any researcher from both partners. In this wiki, we will introduce the ALICE cluster in detail.
Below you find a collapsible tree structure of our documentation set which gives you a quick overview of the full navigation tree. The root tree items are also directory accessible from the top navigation bar.
This user guide will help you get started if you are new to ALICE and working on an HPC in general.
- More in-depth
- Security considerations
- More on login nodes
- Running jobs
- Available software
- Develop your own code
- Running in parallel
- Software packages
- 2 Dec. 2020 - TensorFlow update: The new default module is TensorFlow/2.2.0-fosscuda-2019b-Python-3.7.4
- 2 Dec. 2020 - SLURM note: Connecting to a node on which your job is running is only possible if your job is the only one running on that node.
For older news, please have a look at the news archive: News Archive
This section is used to announce upcoming maintenance and provide information before, during and after it. For general information about our maintenance policy, please have a look here: To maintenance policy
The next major maintenance window will be announced here at least one week in advance.
Previous Maintenance days
Articles with acknowledgements to the use of ALICE
The ecological impact of high-performance computing in astrophysics. Portegies Zwart, S. Nature Astronomy 4, 819–822 (September 2020). DOI: https://doi.org/10.1038/s41550-020-1208-y.
Leiden researchers and their use of HPC
Identifying Earth-impacting asteroids using an artificial neural network. John D. Hefele, Francesco Bortolussi and Simon Portegies Zwart. Astronomy & Astrophysics, February 2020.