- plot_pd_crossover.py fig_conc: lead with request-completion % (the honest
collapse signal; latency percentiles count successes only), then mean-E2E /
TPS; note PD-capped/colo-uncapped in the title.
- add microbench/fresh_setup/gpu_monitor.sh (referenced by the committed
mb5_run_gpu.sh:73 for per-GPU util collection).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Reuse and concurrency axes redone with proper controlled variables, plus
the orchestration used to run them on dash0:
- run_reuse_fixed.sh: hold REAL prefill work (delta) constant, vary only
cached prefix -> reuse = C/(C+U). Supersedes old fig1 (which held
input=8192 and sliced prefix out, confounding "more reuse" with "less
prefill").
- run_conc.sh: agentic-corner config (in=32768, delta=512, reuse=0.984,
out=128) that exposes PD's structural KV-transfer tax. Supersedes old fig3.
- run_campaign{,2,3}.sh, backfill_d2048o128.sh: serial campaign drivers
(strictly one driver at a time), out=128 sweeps, PD wall-cap for
collapse-draining high-reuse arms, and flaked-arm backfill.
- mb5_run_gpu.sh: per-config bring-up / replay / teardown orchestrator.
- plot_pd_crossover.py: render the reuse_compare figures from fig_agg dumps.
- fig_agg.py: tolerate null stats from fully-collapsed arms (0 successes
write the stat keys as null; `dict.get(k, {})` returns null, not {}).
Data: fig1_reuse_fixed.json, fig1_reuse_d{1024,2048}_o128.json
Figs: reuse_compare_AB.png, reuse_compare_ABC.png
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
