Last week my colleague Florent Pruvost talked at Café Guix to share their experience using #Guix and #Spack to deploy linear algebra software on #HPC supercomputers.
The slides are worth a look if that’s your thing:
https://hpc.guix.info/static/doc/caf%C3%A9-guix/Pruvost_03_03_2026.pdf
RE: https://hachyderm.io/@glitzersachen/116178537399234269
I started a discussion how #NixOS should handle software created with LLMs:
https://discourse.nixos.org/t/how-should-we-handle-software-created-with-llms/76061
Is there a similar discussion for other #Linux or #BSD distros?
#KaOS, #OpenIndiana, #openmamba, #Parabola (extra repo), #Ravenports and #Spack are already affected by having chardet later than 5.2.0:
One month of PyPi making up a 3rd of all BioConda deployments. I would be a bad statistician, if I would simply believe that. It is, of course, possible.
As we recommend installing Snakemake via Conda (or use it via #easybuild or #spack) and installation via pip is rather difficult for all dependencies, I don't think the comparison will make much sense. (PyPi is about 8x compared to the plugin, BioConda > 1e6 in total). The real issue is that these numbers (total vs. monthly as a maximum) aren't really comparable in the first place. Hence, my rather generic question (or perhaps there is an API).
(But seriously: It is not worth investing too much time for this.)
The #SCA #HPCAsia 2025 #HPC conference in #Osaka registration is open and the full program is online:
https://www.sca-hpcasia2026.jp/
Worth noting that it's quite a bit cheaper than SC or ISC; and the tutorials (and lunch) seem to be included in the price. I joined the #Spack tutorial two years ago; it's a good one.
Spack v1.0.1 is out!
https://github.com/spack/spack/releases/tag/v1.0.1
This is a bug fix release -- check out the release notes for details! #hpc #spack
This is big: #Spack has reached 1.0.
Spack is (effectively) a distro-indepenedent package manager specifically for #HPC clusters. We've been evaluating it for years and we're most likely going to use it for our next machine.
Really happy to see it reach stable status!
💥Spack v1.0 is out!💥 This is a huge milestone. We reworked the core to add compiler dependencies, and we're introducing a stable package API. 🚀1.0 also adds concurrent builds, better includes, and much more -- read it all in the release notes! https://github.com/spack/spack/releases/tag/v1.0.0
Spack v0.23 is out! This is the last 0.x release before we go to v1.0 in June.
* Language virtuals
* ABI splicing (build with mpich, deploy with mvapich2)
* ML stacks for grace hopper, dev stack for macOS
* UI improvements
👇 More in the release notes!
https://github.com/spack/spack/releases/tag/v0.23.0
Ludovic Courtès
davidak
Christian Meesters
spack
Schiriki
Janne Moren
