> Spack is a package management tool designed to support multiple versions and configurations of software on a wide variety of platforms and environments. It was designed for large supercomputing centers, where many users and application teams share common installations of software on clusters with exotic architectures, using libraries that do not have a standard ABI. Spack is non-destructive: installing a new version does not break existing installations, so many configurations can coexist on the same system.
* https://spack.readthedocs.io/en/latest/
> Spack is a package manager for supercomputers, Linux, and macOS. It makes installing scientific software easy. Spack isn’t tied to a particular language; you can build a software stack in Python or R, link to libraries written in C, C++, or Fortran, and easily swap compilers or target specific microarchitectures.
Intro presentation from some HPC conferences:
* https://www.youtube.com/watch?v=edpgwyOD79E
* https://www.youtube.com/watch?v=DhUVbroMLJY
Very similar to (home)brew, MacPorts, etc, with more of a focus on HPC so you can have multiple versions of a particular piece of software, made with different compiles and linked against different library version.
Combination of family and a more favorable climate. The somewhat lower cost of living doesn’t hurt, but it’s not like Denver is cheap.
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I’ve been looking for good mentors for years but have been stuck at startups. I worry that mentorship will escape me if I get on the wrong team at FAANG. I feel like this is the #1 thing limiting in my career. (Good guidance) I can’t imagine having a mentor who isn’t on my team who would actually want to mentor me.
For more general mentorship, especially as your career develops, it’s the same as anywhere, you have to find someone you get along with and who can help you learn. The advantage at a big company is that there’s a huge pool of potential mentors, and you can see their calendars and coordinate more easily than if you were hunting in the community. :)
While the underlying model is certainly different, and my understanding is that current LLMs don’t learn “live”, the principle seems worth keeping in mind.