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CICA Cluster
Welcome to the CICA cluster. CICA is a memory-intensive HPC cluster operated by the Institute of Astronomy at National Tsing Hua University.
Latest News
- 2024-12-03: c19 offline again for repair.
- See here for Old News.
Getting started and important information
- New users: request an account and connect to the cluster for the first time
- Existing users: how to connect to the cluster
- Technical description of the cluster
- Software installed on the cluster, and how to use it (Modules)
- Where to put your files
- How to user Python and Conda on the cluster and get started with Jupyter
- Remote developments/data analysis with Visual Studio Code
- The batch queue system (SLURM)
- User policy and best practice
- Acknowledging the cluster and user code of conduct (please read!)
Contacts
To report technical problems or ask questions about the cluster (including requests for new users and new software) please email [email protected]
The following people serve as cluster administrators on behalf of the IoA faculty. Please get in touch with any of them if you want to discuss issues related to the cluster. For day-to-day technical problems please use the cica_admin address above, which is read by all the administrators.
- Andrew Cooper
- Daniel Harsono
- Kuo-Chuan Pan
- Hsiang-Yi Karen Yang
Acknowledgements
Please add the following to any papers for which any author has made use of the cluster. These acknowledgements are very important for future proposals to fund the cluster!
This work used high-performance computing facilities operated by the
Center for Informatics and Computation in Astronomy (CICA) at National
Tsing Hua University. This equipment was funded by the Ministry of
Education of Taiwan, the National Science and Technology Council of
Taiwan, and National Tsing Hua University.