Files
moonwell-client-core/graphify-out/graph.json
T
sindoring 6976515791 Frame-cost recordings with GPU passes, CPU phases and tags; cheaper MoonWell AO
The FPS journal writes gpu-passes.log (every top-level GPU pass) and cpu-phases.csv (wall,
process and main-thread CPU per main schedule) beside fps-journal.csv, with a session marker
per recording. On Windows the phase clocks count thread cycles (QueryThreadCycleTime /
QueryProcessCycleTime at a TSC rate calibrated against Instant), since tick-sized process
times cannot split a frame. A crate on top labels recordings through FpsJournalTags; each tag
lands in all three files when recording starts and whenever it changes, and
scripts/journal-report.py summarises a recording per session and tag state side by side.

moonwell-gfx tags recordings with its settings (mwgfx) and gets cheaper at renderScale 2:
- the ambient occlusion reads a linear depth pyramid (ao_depth.wgsl, after McGuire's SAO),
  far samples off coarse levels: 2.2-2.4 ms -> ~1.1 ms at 12 MP, image unchanged (max 9/255);
- the water's scene copy is skipped while no view sees a liquid;
- shadow casters take their own visibility class, so the world camera stops listing them.

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
2026-10-23 18:13:00 +04:00

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