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Post-Conference Workshops
Thursday, March 2, 2023
In-person workshops on Thursday, March 2 are an additional $75. When registering for the conference, select the registration option that includes Thursday Workshop: "Conference Registration + Thursday Workshop". The $75 workshop registration includes access to one of the workshops on Thursday. You will be asked to specify your choice during registration.
Descriptions of each workshop can be found by clicking on each workshop session on the conference schedule page.
If you decide to add-on a Thursday workshop after you have already registered, please reach out to conference staff (kenkennedy@rice.edu) to update your registration.
Workshop 1: Best Practices in HPC Systems Management
8:00 am - 3:30 pm | BRC Auditorium
8:00 - 8:30 am Check-in + Breakfast
8:30 - 8:35 am Welcome + Introductions
8:35 - 9:35 am TACC Update
9:35 - 10:35 am Facilities Trends and Best Practices Panel
10:35 - 11:00 am Break
11:00 am - 12:00 pm Standardized Cross-Platform Benchmarking
12:00 - 1:00 pm Lunch
1:00 - 1:30 pm OLCF Telemetry and Monitoring
1:30 - 2:00 pm SysAdmin Automation Best Practices
2:00 - 2:30 pm Experiences with New Linux Distribution
2:30 - 3:15 pm Panel Discussion: Workforce, Training, Challenges, and Technology Trends
3:15 - 3:30 pm Close
Workshop 2: Devito Training
8:00 am - 4:00 pm | Reception to Follow | BRC Room 280
8:00 - 8:30 am Check-in + Breakfast
8:30 - 9:00 am Welcome + Introductions
9:00 am - 12:00 pm Parallel Sessions
Zero-to-Devito: An Introduction to Developing Solvers and Imaging with Devito (Room 280)
Standardized Cross-Platform Benchmarking (Exhibit Hall)
12:00 - 1:00 pm Lunch
1:00 - 3:00 pm Invited Talks
3:00 - 3:15 pm Break
3:15 - 3:45 pm Annual GSD Panel Discussion
3:45 - 4:00 pm Closing Remarks
4:30 pm Off-site Reception (details will be provided to registered attendees)
Workshop 3: Introduction to Physics-Informed Machine Learning with Modulus
8:00 am - 4:00 pm | BRC 10th Floor Conference Room 1003
This workshop is full (limited to 25 attendees), but there will be another offering in the near future. Email nmoridis@nvidia.com if you’re interested in more information.
8:00 - 8:30 am Check-in + Breakfast
8:30 - 9:00 am Welcome + Introductions
9:00 am - 12:00 pm Introduction to Physics-Informed Machine Learning with Modulus
12:00 - 1:00 pm Lunch
1:00 - 3:00 pm Practical Session: Hands-on Application
3:00 - 3:15 pm Break
3:15 - 3:45 pm Discussion with NVIDIA on Modulus and Physics-Informed ML
3:45 - 4:00 pm Closing Remarks
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