Headless Linux benchmark/hash tool (Clang 19 / GCC 14) sharing the viewer's plan builder and
streaming pipeline (moved verbatim into StreamBenchmarkPipeline.h / WorldAssemblyPrototype.h).
Owner Round17 view: density/mesh/payload/topology hashes equal the Windows S13 reference at
W1/W8/W12 (Clang, 3 runs each) and W8 (GCC), with -ffp-contract=off. No output change.
Baseline (i9-12900H, CPUs 0-11, powersave/balance_performance): whole view W8 3.562 s median,
W12 3.512 s, W1 16.555 s; peak RSS < 605 MiB.
Review: the default-stack crash is 17.3 MiB of static TLS per thread (glibc puts it in the
thread stack; HeightfieldColumnCache 6.8 MB), not recursion -- open, after S14.
MSVC compile of the viewer refactor not verified (no MSVC here).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
- The copied generator, mesher and Compat stand-ins compile inside vfcore::detail.
- CheckCoreSymbols.ps1 (run by Build.ps1) fails on any unqualified Unreal-style symbol in the
library: 16,255 on 557f6aa, 0 now. A UE 5.7 CoreMinimal.h + VoxelForgeCore.h smoke compile passes.
- Output identical: 11 hash rows at W1/W8, routes 5642/5642, look/passage/far audits pass,
bad-shell control fails, six captures byte-identical.
Cost, measured by me interleaved (8 workers, cold, 4 runs each, first run excluded): 0.963 s vs
0.937 s for 557f6aa, ~27 ms in shape compilation; same math, so codegen/inlining. To be found.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MmSoF64BbRFmk9C3p1VsBJ
Cause found by profiling: room/SDF graph-cache churn (exact XY bounds + sample order rebuilt it
constantly). Region grouping (one LOD3 tile: 1,084 -> 229 builds), taller-tile traversal for LOD6
(36,480 -> 12,160), extent-dependent cache slots, lambdas instead of recursive std::function.
Serial ms/tile, 64 nearest tiles per level (before -> after):
L0 50.4 -> 50.6, L1 112 -> 110, L2 24 -> 22, L3 223 -> 73, L4 269 -> 134, L5 393 -> 127, L6 283 -> 145.
Hashes of all levels unchanged; parity 3,436/3,436 bit-identical.
Full clipmap, 16 workers BelowNormal: full detail 66.6 s, all 12,054 tiles 175 s. In-stream L0 tail is
high (median 83 ms, mean 198 ms, p95 669 ms) vs 51 ms serial.
Streaming: recentre keeps the intersection, generates only missing tiles nearest/finest first;
one crossing = exactly 441 new tiles in 6.1 s, no stale results.
Lighting: normals already come from the density gradient; the striping was the squared headlamp;
broad linear fill + warmer palette. Daytime CPU rule documented in Standalone/README.md.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MmSoF64BbRFmk9C3p1VsBJ
Hashed TMap/TSet and real TInlineAllocator storage did not move level 0 (72.1 -> 74.1 s, within
noise): the slowness is elsewhere. StreamingWorld.h started (first build hit an int64/uint64
mismatch), library plan drafted (SHARED_CPP_LIBRARY_PLAN.md), before-normal captures saved.
Uncompiled/unmeasured parts: streaming. Resume by forking session 01a0fd2e-3c3b-7050-b4e9-628fdcc4d553.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MmSoF64BbRFmk9C3p1VsBJ
Standalone/ (C++20, MSVC /O2 /arch:AVX2 /fp:precise, Build.ps1): copied density pipeline, op stack,
cave morphology, passages, strate manager/composer, noise, DetSinCos, mesher, clipmap selection,
with a UE compatibility layer (Compat/). Owner data exported once to Standalone/data/owner_world.json
by a default-off explore-commandlet exporter (the only plugin-source change). 25 cm voxels.
Parity: seed 0, 3,436 samples (strate edges, negative/far coords, rooms, tunnels, passages,
landings): bit-identical. Viewer: full 7-level clipmap, per-level toggles 1-7, T = round winding
tunnels (standalone option), N/P seed, F wireframe.
Timing NOT yet a baseline: 515 s for 12,054 tiles (L0 70 s, L6 296 s); the compat TMap/TSet are
vector-backed with linear lookup, which the plugin's caches do not expect.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MmSoF64BbRFmk9C3p1VsBJ