First Day: August 23:
8:00-AM-9:00AM Breakfast
9AM-9:20 AM: Introductions
9:20-10:00 AM: Overview of FastML and hls4ml (Nhan Tran, Fermilab)
10:00 -11:00 AM: Introduction to High Level Synthesis (Seda Ogrenci, Northwestern)
11:00-11:15 Break
11:15 - 12:45: Introduction to ML and its Applications (Emadeldeen Hamdan, UIC, Sule Ozev, ASU, Mark Neubauer UIUC)
12:45 - 1:45 Lunch
1:30 - 2:00: Setup
2:00- 3:00: hls4ml Tutorial
3:00-3:15: Break
3:15 - 4:30 hls4ml Tutorial
Second Day: August 24:
8:00-9:00AM Breakfast
9:00AM – 12:45AM (with 15 minute breaks) Morning Session:
Intro Lecture: 30 minutes
Phase I: Teams work on an hls4ml demo project - led by current developers, grad students
Phase II: Advanced Exercises: adding new features and optimizations to the demos
Ideas from participants
Adaptive learning approaches for the cartpole demo
Exploration of tradeoffs between training and hardware optimization
12:45 - 1:45 Lunch
Phase II Cntd.: Advanced Exercises: add features
Third Day : Sunday August 25:
8:00AM-9:00AM Breakfast
9:00AM – 12:00PM:
Participant-led presentations on what they did and what they learned.
Feedback
12:00PM End of Event