This is a progressive tempo run, where you start easily and go up to a comfortably fast pace. There is something to say about strength (of heart and muscle) per unit of body weight! I can't win otherwise. 😆

I’m athletic (very low body fat) and have lived in a lot of cold climates (offices included, lol), and don’t have issue generating heat given a few layers and not low on fuel. Lots of fat and protein is great for that - avocados, chocolate, plain Greek yogurt, and eggs. 😋

We can ping you if/when it happens again - thank you for looking into this! 👀

But then I'm not sure (if that is the case) why it would work on a subsequent retry (same stale cache) unless the mirrors were in a strange state, or we hit something different? 🤔

github.com/flux-framewo...

Hmm, if it's just a stale cache, likely we could try a clean all. That would be logical for the flux-sched issue (assuming the repository metadata cached from core). It looks like we do a clean all *after* the deps are attempted installing. The flux-core failure would likely be another issue.

Thanks Brian! If it's OK, I'd rather not make a chat or forum account, so I'll post here. You can see the failure here, and a picture below:

github.com/flux-framewo...

The base image is regularly rebuilt from this Dockerfile github.com/flux-framewo... and CI fails for it too. Thanks for the help!

It handles logical operators within groups (each associated with one cpuset mask) so the user can break down shape by task or other (second picture).

More to come! Right now we are using it for testing. 🤓

Yes ma'am! 🫡

We are immensely grateful to the larger community, our collaborators, and tutorial participants! Folks came with a huge set of questions that you'll hear in the Q&A of our tutorial video. Thank you for the questions and discussion - keep it coming! 🚗

We hope to see you at #SC25. 👀

At the end we jumped right into the deep end (1:16:00) and walked through Chapter 4, demonstrating running LAMMPS on bare-metal and in the Flux Operator in User-space Kubernetes. The notebook also has MuMMI component examples, along showcasing the the #Kubeflow Trainer.

The tutorial portion this year was so good! 🥳 We developed a custom EC2 Spawner, meaning our participants got a web interface notebook running on their private hpc7g instance on #AWS. The instance came with Flux and User-space Kubernetes! This is a new Chapter 4 on Converged Computing. 😎

The third section of the talk is near and dear to me - Converged Computing (25:52). Portability is a new metric of performance. Flux is a portability layer for #HPC and cloud. Learn about the Flux Operator, User-space #Kubernetes, and recent work to automate experiments with helm, and #eBPF.

We transition into Flux Projects, specifically flux-core and flux-sched, and updates since our presentation one year ago. Our Flux team is amazingly productive! 💪