CISL Daily Bulletin

The Daily Bulletin delivers news about CISL’s high-performance computing environment, training opportunities, scheduled maintenance, and other events of interest to the user community. To get the Daily Bulletin by email, use this link to subscribe.

No system downtimes for week of May 30-June 3

May 27, 2022

None planned for Cheyenne, Casper, GLADE, Campaign Storage, Quasar, Stratus, or JupyterHub.

JupyterHub kernel and NCAR Python Library updates

May 26, 2022

New versions of the MATLAB (R2022a), R (4.1.2) and Julia (1.7.1) compute kernels are now accessible on NCAR’s JupyterHub service. These match the current defaults found in our Cheyenne and Casper module environments and, in the case of R, the kernel will provide the same library of installed packages. Older versions of these kernels are deprecated and will be removed at a future date (to be ann...

Next GPU tutorial on June 2

May 25, 2022

Registration is open for another session in a series of workshops and tutorials on GPU computing. “IDEs, Debugging, and Optimization Tools for GPU Computing” will be on Thursday, June 2, at 10 a.m. MDT. Please use this form to register by 7 a.m. MDT on May 31 if you plan to attend and have not already registered for the series. The series of one-hour sessions is for scientists, software engine...

No system downtimes for week of May 23-27

May 20, 2022

None planned for Cheyenne, Casper, GLADE, Campaign Storage, Quasar, Stratus, or JupyterHub.

How to get help using NCAR supercomputers

May 19, 2022

Researchers who need help using NCAR’s Cheyenne and Casper systems to do their work can get expert help a couple of different ways. One is by connecting with a CISL supercomputing consultant during regular business hours by calling 303-497-2400. Another is by submitting a help request through the NCAR Research Computing help desk any time. Another good source of information is our documentation...

Registration open for artificial intelligence summer school

May 18, 2022

Registration is now open for the annual Trustworthy Artificial Intelligence for Environmental Science (TAI4ES) Summer School, which will take place virtually from June 27 through June 30. Participants should have a basic background in AI methods. The summer school will focus on the importance of ethics and trustworthiness in developing AI for use in Earth system science, and on giving participa...