Graviton3 c7g.8xlarge, 360 GSE165845 arrays: 360/360 GTCs identical between the Rust
kernels and the pure-Python paths; 1 worker 78-80 samples/min (pure Python 29.6).
Scaling 1->8 workers efficiency 0.87-0.90; above that the 125 MB/s gp3 disk caps the
run (~620 samples/min) and, on a RAM disk, a fixed per-worker start-up cost limits a
360-sample batch to efficiency 0.48 at 32 workers (K-025). Worker state is pickled once.
docs/validation/P9.md, result JSONs, guide/README/CHANGELOG updates.
docs/user_guide.md (install, inputs, complete run, commands, presets, QC, outputs,
accuracy, limitations, troubleshooting), examples/gsa_demo.sh (end-to-end run on the
public GSA demo, verified on the Pi), examples/sample_sheet.csv, CHANGELOG.md; version 1.0.0.
kemal