Program
October 2, 2022 (8:35 am - 5:00 pm US CDT = 1:35 pm - 10:00 pm UTC) – Chicago
FastPath 2022 In conjunction with MICRO 2022
Speakers
| Time | Speaker | Affiliation | Talk Title | Slides/Paper | Video |
|---|---|---|---|---|---|
| 8:35 | Welcome and Opening Remarks | ||||
| Video | |||||
| 8:40 - 9:25 | Andreas Moshovos | University of Toronto | Ingesting and Processing Data Efficiently for Machine Learning | Slides | Video |
| 9:35 - 10:20 | Yuan Luo | Northwestern University | Machine Learning for Better Medicine | Slides | |
| 10:30 - 11:00 | Break | ||||
| 11:00 - 11:45 | Bishwaranjan Bhattacharjee | IBM Research | System Requirements for Deep Learning Foundational Models | Slides | Video |
| 11:55 - 1:05 | Lunch | ||||
| 1:05 - 1:50 | Saugata Ghose | Univ Illinois Urbana-Champaign | Using Processing-in-Memory to Accelerate Edge Machine Learning | Slides | Video |
| 2:00 - 2:45 | Eliu A. Huerta | Argonne National Laboratory | AI4Physics: From Conceptualization to AI-Driven Discovery at Scale | Slides | Video |
| 2:55 - 3:30 | Break | ||||
| 3:30 - 3:55 | Antonino Tumeo | Pacific Northwest National Lab | SODA: An End-To-End Open-Source Hardware Compiler for Machine Learning Accelerators | Slides Paper | Video |
| 4:00 - 4:45 | Tor Aamodt | University of British Columbia | Faster Learning on Slow Hardware | Slides | Video |
| 4:55 - 5:00 | Closing Remarks |