[Autoloop: tsb-perf-evolve] - #245
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Eliminate 1.6MB TypedArray allocation per sortValues call at n=100k. Per-call: finBuf(400KB) + nanBuf(400KB) + fvals(800KB) = 1.6MB × 50 iters = 80MB GC. Now lazily grown module-level buffers, like the existing radix ping-pong buffers. Also reuse _fvalsU32 as a persistent Uint32Array view of _fvals.buffer. Run: https://github.com/githubnext/tsessebe/actions/runs/25137904374 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Goal
Minimize
fitness = tsb_mean_ms / pandas_mean_msforSeries.sortValuesat n=100k. Lower is better;< 1.0means tsb beats pandas.Program Issue: #189
Current best metric: 27.999
Iteration 27: Make finBuf/nanBuf/fvals module-level
Eliminate 1.6MB TypedArray allocation per
sortValuescall:finBuf(400KB),nanBuf(400KB),fvals(800KB) → module-level, grown lazily_fvalsU32→ persistentUint32Arrayview of_fvals.buffer, updated on reallocationThe radix sort ping-pong buffers were already module-level; this extends the same pattern to the pre-partition buffers.
Run: https://github.com/githubnext/tsessebe/actions/runs/25137904374
🤖 This PR is maintained by Autoloop. Each accepted iteration adds a commit to this branch.