Telcon: 2024 03 13

Wednesday March 13th, 9am PT (UTC -7:00)

(This week the meeting is for Q&A, there are no pre-planned topics)

(resolved) Prentice:
- Trying to build aoclsparse
- aocl-sparse package says it needs amdblis for @4.1:, but it accesses amdblis for @4.0:
  - Either the depends_on needs to move "back" or the phase logic needs to do only access for @4.1:
- It would be nice to show details about failing package (e.g. compiler)
  - spack find -c should be able to show details of concretized specs within environments
Davide: building Python, numpy, scipy w/ Intel compiler and MKL
- Works, performance (e.g. for SVD) is similar to pre-compiled
- But slower than GCC-compiled version
  - In some cases faster, but generally slower
- Installing numpy w/pip on top of gcc-based spack-installed python is fast
  - Intel-based spack installed python is slow
- Intel had instructions for compiling
  - But as of now tells users not to use it
  - See: https://www.intel.com/content/www/us/en/developer/articles/technical/numpyscipy-with-intel-mkl.html
- Intel website has a 1GB binary which provides numpy etc. that seems to work well
  - But: This doesn't specify associated version (only built for Python 3.9)
Prentice: Some things seem slow, can I get more info?
- Tammy: spack -d e.g. spack -d concretize, spack -d install, etc.

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