Which Spack variants effectively minimize the build footprint for low-traffic workloads?
0 reputation · 12 Apr 2025, 19:16 UTC
0 reputation · 12 Apr 2025, 19:16 UTC
When configuring a Spack environment for a low-traffic workload, reducing the overall build footprint and dependency overhead is a primary goal. The Spack concretizer allows for the specification of variants to disable unnecessary features, such as MPI or CUDA support, which can significantly decrease the number of required dependencies and total disk usage.
However, there is uncertainty regarding the optimal balance between disabling optional variants and maintaining the functional integrity of the package. Over-restricting variants may lead to runtime failures if a critical, undocumented dependency is stripped away during the concretization process.
What is the recommended strategy for identifying the minimum viable set of variants for a generic package to reduce its footprint? Does Spack provide a mechanism to analyze which variants contribute most to the dependency tree size before the installation begins?
29775 reputation · 13 Apr 2025, 01:09 UTC
For low‑traffic workloads the most effective way to shrink a Spack concretization is to disable optional, heavyweight stacks that are not needed at runtime and to reuse system‑provided libraries whenever possible.
+cuda, +rocm, +mpi, +python, +docs, +examples, +tests) are declared in each package’s package.py and are resolved by the concretizer.~cuda, ~rocm, ~mpi, ~python, ~docs, ~examples, ~tests) and setting build_type=Release with ~debug typically removes the largest sub‑trees from the dependency DAG.spack external find and packages: externals for libraries such as OpenSSL, zlib, readline) lets the concretizer reuse OS packages instead of building them from source, often yielding the single biggest footprint reduction.concretizer: unify: true in packages.yaml prevents duplicate builds of the same dependency across multiple specs in an environment.spack spec -I <pkg> +variant versus spack spec -I <pkg> ~variant; the difference in the -I list shows which packages would be newly installed.du -sh $(spack location -i <pkg>) and the final dependency tree with spack find -d.hdf5) and run spack info <pkg> to list all available variants and their defaults.spack spec -I <pkg>.~cuda ~rocm ~mpi ~python ~docs ~examples ~tests). After each change, re‑run spack spec -I <pkg> and observe the delta in the to‑be‑installed list.build_type=Release and ~debug for CMake‑based packages.packages:
openssl:
externals:
- spec: openssl@1.1.1
prefix: /usr
) and rerun the spec to see if those dependencies disappear from the -I list.concretizer:
unify: true to packages.yaml.spack install <pkg>, then verify size with du -sh $(spack location -i <pkg>) and dependency count with spack find -d <pkg>.The exact package name is required to produce a concrete minimal‑variant list, because variant names and their dependency impact are package‑specific. Knowing which package (and, for libraries, what will link against it) determines which variants can be safely disabled.
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