Data Management Part 1: October 20
Learn about managing your data on UA's HPC cluster. Co-sponsored with University Libraries
Data Management Part 2: October 21
Tools and workflows for managing data on UA’s HPC cluster. Co-sponsored with University Libraries
Deep Learning In Matlab: October 28
Learn how you can use MATLAB to apply deep learning techniques to your work whether you’re designing algorithms, preparing and labeling data, or generating code and deploying to embedded systems. For resources shared at the workshop see the bottom of this page.
Introduction to HPC: Wednesday
Wednesday November 10 9am-10am. Room 130A UITS Building
Wednesday December 1 9am-10am. Room 130A UITS Building
This training course will help you get started on using HPC resources. If you have recently started, you might learn there is a better way, or there are capabilities you are not taking advantage of. You can stick around and use this as a consulting session.
To register just send an email to email@example.com with your Name, Netid, Department / School
View file name IntroToHPC.pptx height 250
Machine Learning on HPC:
Friday November 12. 9am-10am. Room 130A UITS Building
Friday December 3. 9am-10am. Room 130A UITS Building
This short training class provides a brief introduction to key concepts of machine learning. The short lecture will be followed by two hands-on examples that emphasize running a Jupyter notebook on the HPC supercomputers. You can stick around and use this as a consulting session.
To register for either of these, just send an email to firstname.lastname@example.org with your Name, Netid, Department / School
The building is at the corner of Mountain and Speedway. The entrance is at the east end of the building and the room 130A is downstairs
Linux Self Guided
We run RHEL/CentOS 7 Linux on our high-performance systems. If you have never used Linux before or have had very limited use, read this useful guide: http://www.ee.surrey.ac.uk/Teaching/Unix/