godofecht / godofecht/flow-scikit
[Bench #478] Qualify performance on Linux x86-64 and macOS arm64 without cross-hardware false regressions
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- Dominant language
- Python
- Stars
- 2
- Forks
- 0
- Avg merge
- 4h 33m
- Merged PRs (30d)
- 9
Description
Parent: #478
Current canonical evidence is environment-keyed, but optimization claims need to survive both Tier-1 Flow platforms. BLAS/LAPACK implementation, vector width, compiler and allocator differences can reverse small wins.
Run canonical operation-level and selected scaled benchmarks on Linux x86-64/OpenBLAS and macOS arm64/Accelerate with pinned threads. Maintain independent baselines per environment; never compare absolute timings across machines.
Acceptance: every canonical loss/win has per-platform status; regressions are evaluated only within matching environment IDs; platform-specific holes become explicit child issues; Pages can filter by platform; target #478 eventually has zero material losses on both supported performance platforms.
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with parent issue #478 and locate the canonical operation-level and selected scaled benchmarks referenced there. Run them on Linux x86-64/OpenBLAS and macOS arm64/Accelerate with pinned threads, then maintain separate environment-keyed baselines and verify that Pages can filter by platform. Done means every canonical result has a per-platform status and no cross-machine timing comparisons are used.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- linux, macos, python
- Domain
- infrastructure, performance, testing-qa
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 48/100