Advanced Session: Scaling ML Workflows for Large-Scale Training on HKUST SuperPOD
2:30 p.m. - 3:30 p.m.
Classroom 2465 (near Lift 25-26) & Online via Zoom

We would like to provide you with an update on the captioned relocation exercise. All the SuperPOD equipment has now been physically moved back to campus. Right now, the contractor is at the final stage of cable installation, reconstructing the whole network connectivity which includes both the compute and storage fabrics. This will be followed by a final testing stage to validate the whole configuration.
 
In view of the complexity, we originally planned to resume the HKUST SuperPOD service gradually in 3 stages, starting from end of October, and with full capacity to be delivered on Nov 11 (Mon). Upon further discussion with the contractor, and with their help to work overtime to expedite the process, now we are aiming at resuming the service in full capacity in one go on Nov 1 (Fri). We understand the importance of HKUST SuperPOD to your research, and are doing everything possible to complete the relocation. We really appreciate your patience and understanding during this time.

When
2:30 p.m. - 3:30 p.m.
Where
Classroom 2465 (near Lift 25-26) & Online via Zoom
Recommended For
HKUST Faculty & Researchers
Language
English
Speakers / Performers:
ITSC Colleagues
Organizer
Information Technology Services Center
Contact

Agenda
1. Efficient dataset transfer into SuperPOD
2. Parallel file operations
3. Scaling out data pre-processing
4. Design your ML model to better leverage SuperPOD
5. Model debugging on SuperPOD
6. Monitor your production model training
7. Q&A

Registration

Registration for Classroom
Registration for Online Zoom

RSS
Post an event
Campus organizations are invited to add their events to the calendar.