This is the third cross Machine Learning - Level 1 Trigger group workshop dedicated to the ongoing developments in the CMS L1T group on ML algorithms. We hope to bring together people with expertise in L1T algorithms and systems, as well as machine learning and related tools. The goals are to review the ongoing activities in order to find areas of overlap, circulate solutions to common challenges and share our collective experiences with tools, frameworks, emulators, and L1T hardware.
The workshop is organized in two parts, with the morning sessions dedicated to presentations from algorithm developers and experts in different areas, and the afternoon sessions dedicated to a hackathon. The organizers will invite speakers from the appropriate groups to present new developments since the last workshop. In addition, colleagues are invited to submit abstracts on relevant topics, for example on new algorithms, tools, techniques and methods for efficient and robust ML. We encourage your contributions!
During the hackathon, teams will work intensively on a project throughout the week, with a daily session to present progress updates. A call will be opened to propose hackathon projects, and to organise into teams. The main concept of the hackathon is to work closely together to innovate on uses of ML at the L1T, to kick off new ideas in a collaborative effort. Prizes will be awarded to the best teams, with criteria to be defined by the organizers.
This workshop will be hosted by the University of Colorado in Boulder, Colorado. In-person attendance is preferred, to facilitate the best discussions and collaboration, but remote attendance will be possible. Remote teams will be able to participate in the hackathon in their local time-zone.
Organizing Committee
Thea Aarrestad (ETH)
Cristina Botta (CERN)
Gianluca Cerminara (CERN)
Javier Duarte (University of California San Diego)
Jennifer Ngadiuba (Fermilab)
Jannicke Pearkes (CU Boulder)
Kevin Stenson (CU Boulder)
Sioni Summers (CERN)
Keith Ulmer (CU Boulder)
