ci(codspeed): drop simulation (cachegrind); memory is the always-on baseline#29
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…aseline Instruction counts under-weight the numpy/scipy/sparse work this fork targets, and the cachegrind pass was ~11 min — by far the slowest. This project doesn't do micro-CPU tuning, so its deterministic-sub-1%-CPU value isn't worth it. Dropping it also removes the whole reason codspeed.yml existed (memory+simulation shared one run to avoid same-environment overwrite). Now: - codspeed-memory.yml: memory on master + every PR + dispatch (always-on). - codspeed-macro.yml: walltime on master + dispatch + labeled PRs (unchanged). - codspeed.yml: deleted. memory (ubuntu) and walltime (macro) are separate environments, so no clash. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Merging this PR will not alter performance
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TODO (human): why drop simulation — your words.
Note
The following content was generated by AI (Claude).
Drop the CodSpeed simulation (cachegrind) instrument. Instruction counts
under-weight the numpy/scipy/sparse work this fork targets, and the cachegrind
pass was ~11 min — by far the slowest instrument. This project doesn't do
micro-CPU tuning, so simulation's deterministic-sub-1%-CPU value doesn't earn it.
Dropping it also removes the whole reason
codspeed.ymlexisted — memory andsimulation shared one run only to avoid a same-environment overwrite.
Result
codspeed-memory.yml— memory on master + every PR + dispatch (thealways-on baseline; no more label gate). ~2 min.
codspeed-macro.yml— walltime on master + dispatch + labeled PRs (unchanged).codspeed.yml— deleted.memory (ubuntu) and walltime (macro) are separate environments, so their uploads
don't clash.
What runs when
trigger:benchmark-labeled PR → memory + walltime🤖 Generated with Claude Code