Help and Support

Scheduled Maintenance

Attention

There is no maintenance scheduled for the moment.

Contact the Research Technology Services team

Katana issues including: functional issues, software installation, reference data sets, general questions: Email the IT Service Centre, including the word Katana in the subject line.

Note

This is the best and primary way to get help from UNSW Research Technology Services beyond this document. You must use your UNSW email address or your zID. Without this information, we have no idea who you might be.

When writing your email, please include a clear and detailed description of the issue experienced, including error messages and node name. Something like “It doesn’t work” doesn’t help us help you! If at all possible, include the steps someone else needs to do to reproduce the problem, the job identifier, the date and time of your problem and on which Katana node it occurred, the script filename and the directory you were running from.

Example of a bad request

i’m trying to do some work on katana, but it seems that the server is slow or not responsive at times. i’m logged in from inside unsw today, so working from home shouldn’t be the issue.

Example of a great request

When I tried to run Sentaurus TCAD today (2020-05-01) on Katana I got this error message regardless of structures I wanted to simulate:

“Job failed Error: Child process with pid ‘116643’ got the signal ‘SIGSEGV’ (segmentation violation) gjob exits with status 1”

My job ran on k052 with jobid 300000, my zID is z2134567

For face to face support: Drop-In Hour Wednesdays, 1pm.

For questions about research data at UNSW on storage, movement or Data Management Plans, please email the Research Data Team. If you specifically wish to increase Katana storage allocations, please email the IT Service Centre - note that such increases are not automatic.

Katana Terms of Use

Any use of Katana is covered by the Conditions of Use - UNSW ICT Resources.

Important

Katana is not suitable for highly sensitive data. You should use the UNSW Data Classification scheme to classify your data and learn about managing your research data by visiting the Research Data Management Hub.