Robert Allan JamesandClaude Sonnet 5
934be5a257
Correlates every HB-ON/HB-OFF heartbeat-tick CSV row (results-20260912- with-heartbeat-csv/*-doe-raw.log) back to which trial (run_id, id_idx, id_label, rep) was active when it printed, despite the async tick printer splicing rows mid-token -- including mid a DOE-RUN marker itself -- into the trial loop's own console output on the shared serial line. Pipeline (analysis-20260912/, see its own README.md): - correlate_doe.py: two-pass reconstruction per architecture (remove atomic CSV-row spans to rebuild the clean trial-output stream, map each removed row's offset back to the nearest preceding run_id marker); identity/rep looked up from a known-clean prior run's run_id mapping rather than re-parsed, since one aarch64 marker (trial 12, rajames rep 1) lost its id_idx digit to a zero-separator collision with an adjacent CSV field and is unrecoverable from that log alone -- its rows fold into trial 11 instead, documented as a known limitation. - combine.py: merges all three architectures into combined.csv (768 rows), decoding Q48.16 fields to floats and jitter_bits' IEEE754 bit pattern to real jitter_ns. - analysis.R: per-cell (architecture x identity) means/SD and two-way ANOVA for each of 12 telemetry metrics, one boxplot SVG per metric, written up as ANALYSIS.md. Key findings: identity significantly affects word-heat/window-sizing metrics (expected -- different identities execute different word sets), architecture significantly affects timing metrics (APIC ticks/tick, timing variance, fleet heat -- expected, different QEMU targets), zero architecture x identity interaction on any metric. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01EXieurDfDSsDFdnSyusuWo
35 KiB
35 KiB
