Continuing from Tanya’s announcement, the workshop is the continuation of last year’s LLVM 
ML, with pretty much the same format.
…and before we continue, yes it can be about AI; in fact maybe we should’ve had AI in the title, since technically that encompasses ML, and besides we’ve already included AI-ish topics last year. Plus it’s all the fashion now. Alas, we didn’t change the name, just for the sake of continuity.
As announced:
The workshop aims to bring together LLVM contributors and researchers that work on applying machine learning techniques to LLVM, including compiler optimizations, latency estimation, IR comprehension, code generation, or data set curation (to name a few) - to discuss their current, ongoing projects, and explore ways to better collaborate and plot pathways for integration into community LLVM.
Just like before, the workshop is an unconference. It’s a half-day workshop and it has 2 parts:
In the first part, folks that want to propose topics or update the community on their work give a short presentation followed by Q&A. If interested in presenting in the 1st half, please DM @mtrofin by Oct. 1st so we can understand how to budget the time. We’ll communicate back on Oct 2nd to confirm timing for this first half. In addition, and optionally, if you’re interested in presenting and want to share more information with the participants before the workshop, share whatever materials you want to with us, a week before the workshop the latest, so we can group all of them in one post on Discourse a few days before the workshop.
The second part will be round table on topics the workshop participants choose. We’ll ask a volunteer to take notes, which will then be shared back on Discourse, together with the slides presented in the first part.Looking forward to seeing you all in October!