Spack @spackpm
A flexible package manager designed to support multiple versions, configurations, platforms, and compilers. Join us at https://t.co/aT6zWYxXKz! mast.hpc.social/@spack Joined January 2017-
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@timClicks @spackpm uses nix’s hashed deployment model, and supports envs for reproducible dev/deploy workflows. Adds simpler/flexible CLI, relocatable binaries, (newish) windows support, easy mixing of source builds and binaries, and a solver to manage all that. github.com/spack/spack
What do package managers like @spackpm do? Keep your #code installation from becoming a combinatorial nightmare. El Capitan’s #exascale packaging plan: computing.llnl.gov/about/newsroom… #computing #supercomputer #HPC
@spackpm saved us by allowing us to move a mirror of the entire software ecosystem onto the server. Everything needs to be pre-downloaded.
Explore the Supercomputer PACKage manager (Spack) created by @Livermore_Lab and how it streamlines the process of managing different software and package versions for HPC hardware: intel.ly/3TJh2Vh #oneAPI
The Extreme-Scale Scientific Software Stack (#E4S) version 24.02 incorporates new #AI/#ML libraries and expands #GPU support to include the NVIDIA Grace and Grace Hopper architectures exascaleproject.org/new-extreme-sc… #HPC via @exascaleproject
If you are into @JuliaLanguage and a student in Switzerland, you should look at jobs.ethz.ch/job/view/JOPG_…. They also have a project on Spack+Python.
Happy to say we'll be back at #ISC #hpc this year for another spack tutorial! See you all in Hamburg in May. Check isc-hpc.com/contributed-pr… and we'll send more updates the program comes together.
@spackpm I have a new strategy for when I'm building a container from source! 💪 ☕️ Drink unreasonable amount of hot cocoa 🎶 Turn on the tunes! 🥰 Hear that song that brings you joy... 🪩 Dance party!! 📷 Record the last one for the internet + Mom youtu.be/MwHg1W3Tcng?si… 🙌
.@spackpm finally proposed a self-hosted OS bootstrap (container only for now) and i am absolutely LOSING it! github.com/spack/spack/pu…
Hot on the heels of presenting their work at #SC23, the #ExCALIBUR benchmarking project is at #CIUK2023 this week. Today they are leading a workshop exploring using @spackpm and @ReFrameHPC for reproducible benchmarking
Hot on the heels of presenting their work at #SC23, the #ExCALIBUR benchmarking project is at #CIUK2023 this week. Today they are leading a workshop exploring using @spackpm and @ReFrameHPC for reproducible benchmarking
Tuomas Koskela @ucl_arc here at #CIUK2023 with others from the @ukexascale benchmarking project sharing how to use @spackpm and @ReFrameHPC for reproducible benchmarking across the diversity of systems we have in the UK.
Tuomas Koskela @ucl_arc here at #CIUK2023 with others from the @ukexascale benchmarking project sharing how to use @spackpm and @ReFrameHPC for reproducible benchmarking across the diversity of systems we have in the UK.
Looking forward to joining #CIUK Day One, but if you’re there tomorrow, do check out tutorials from our @ukexascale project with @ucl_arc on Benchmarking with @spackpm & @ReFrameHPC, and (if you can be two places at once) learn @SYCLstd with collaborators from @ZettascaleLab
Looking forward to joining #CIUK Day One, but if you’re there tomorrow, do check out tutorials from our @ukexascale project with @ucl_arc on Benchmarking with @spackpm & @ReFrameHPC, and (if you can be two places at once) learn @SYCLstd with collaborators from @ZettascaleLab
@DanielNichols10 gave a talk at @packagingcon on guiding @spackpm ‘s concretizer using machine learning to predict likelihood of successful builds of different package configurations. Youtube link below. 👇🏼
@DanielNichols10 gave a talk at @packagingcon on guiding @spackpm ‘s concretizer using machine learning to predict likelihood of successful builds of different package configurations. Youtube link below. 👇🏼
@NERSC @Supercomputing @ORNL @ucl_arc @ukexascale The final talk at HPCTESTS is from Olga Pearce @Livermore_Comp on a Ramble and @spackpm suite of benchmarks @Supercomputing #SC23
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@ibuildthecloud Write. POSIX. Compliant. Shell. Scripts.
@timClicks @spackpm uses nix’s hashed deployment model, and supports envs for reproducible dev/deploy workflows. Adds simpler/flexible CLI, relocatable binaries, (newish) windows support, easy mixing of source builds and binaries, and a solver to manage all that. github.com/spack/spack
@hipsterelectron @ibuildthecloud @spackpm Ok I read a bunch and I like a lot of what I see, I'm sure I could use it in any Unix like env, but is there a recommended like, build path? I mean, so a big target is supercomputer stuff, expectation is bring your own os any will do? Is there a minimal spack image for x86_64bit?
I’ll prove you wrong :). We’re seeing great adoption across the board, retention is good across markets. These teams are effective.
I want nix to prove me wrong but there's like 99% chance all the nix based startup will fail. Nix is such an incredibly difficult sell. You either have people touch nix and have to 3x level up their skills or your abstract away nix so much that you could probably do without it
Challenge accepted. We've seen Nix make teams happier and more productive. With the right tooling (see @jetify_com, @Replit, and others) Nix can empower developers without the painful learning curve.
I want nix to prove me wrong but there's like 99% chance all the nix based startup will fail. Nix is such an incredibly difficult sell. You either have people touch nix and have to 3x level up their skills or your abstract away nix so much that you could probably do without it
What do package managers like @spackpm do? Keep your #code installation from becoming a combinatorial nightmare. El Capitan’s #exascale packaging plan: computing.llnl.gov/about/newsroom… #computing #supercomputer #HPC
Road to El Capitan part 7: packaging for everyone @spackpm computing.llnl.gov/about/newsroom…
@spackpm saved us by allowing us to move a mirror of the entire software ecosystem onto the server. Everything needs to be pre-downloaded.
@geerlingguy @RedHat It really is time we just give up on them. Let them die their Solaris grave they dug for themselves. In other news, check out Nixos if you haven't. Would love your take on it. I'm in HPC land and we love Spack, and it's like if Spack were an OS.
Todd Gamblin of @Livermore_Lab and creator of the #Spack project and Christian Trott of @SandiaLabs talk about the path to establish the High-Performance Software Foundation (#HPSF) as an umbrella organization under the @linuxfoundation. ow.ly/2AIY50QgCFr #linux
@tgamblin @FelixCLC_ @DocSparse @spackpm @easy_build SBOM isn't a great tool for reproducibility, near as I can tell. A software system management tool like Spack, Nix, Conary 🪦, and some Linux distros are far better fit for that purpose. SBOM removes so much information from the system that it is unlikely to be useful for that.
Explore the Supercomputer PACKage manager (Spack) created by @Livermore_Lab and how it streamlines the process of managing different software and package versions for HPC hardware: intel.ly/3TJh2Vh #oneAPI
@leecronin You should test your theory with packaging systems. Good to hack will ba @spackpm, or Linux distro. Packages have complexity and dependencies, and are assembled from other packages ;)
FreeCAD's build dependency graph in Debian, made using the `debtree` tool
LLNL distinguished member of technical staff & @spackpm lead @tgamblin is one of the @HPCwire #PeopletoWatch 😎 llnl.gov/article/51011/… #HPC #computing #nationallab #opensource
@CohenArthurDev @tekknolagi @spackpm is really good at building gcc & rust on arbitrary platforms among other things and allows multiple installed versions of each package. you probably want a binary vs building from source & we're still working on that although caching ~/.spack in your CI should be enough
@hipsterelectron @tekknolagi @spackpm oh, interesting! I'll try it out tomorrow :)
@tonofcrates No, do not use docker! The point of artifacts is not just to get a badge. It is so that other researchers can build on top of your work. Docker makes it incredibly difficult to integrate projects into existing code bases. Instead write good build systems, and explicitly ...
The Extreme-Scale Scientific Software Stack (#E4S) version 24.02 incorporates new #AI/#ML libraries and expands #GPU support to include the NVIDIA Grace and Grace Hopper architectures exascaleproject.org/new-extreme-sc… #HPC via @exascaleproject
If you are into @JuliaLanguage and a student in Switzerland, you should look at jobs.ethz.ch/job/view/JOPG_…. They also have a project on Spack+Python.
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