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High priority IMO. Regressions are devilishly difficult to identify after the fact. The criterion author had a crate targeting CI use cases. Let me try to dig it up.
IMO the approach to take is to create benchmarks using iai rather than criterion - not that you can't do both.
However, I believe if you want to accept/reject/evaluate the performance impact of a PR using github actions, or some such tooling, you need to abstract the hardware/virtualware which leaves one looking at iai.
As we care performance a lot, it may be necessary to run benchmarks for each PR submission.
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