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splat3d/PR7: end-to-end demo + PLY loader + e2e integration test (PR 7)
Closes the splat3d sprint's "Definition of done" — the full PR 1-6 pipeline now runs end-to-end on the CPU with a real binary that takes a .ply scene as input and produces image output. ## Shipped ### src/hpc/splat3d/ply.rs (~370 LoC, 4 unit tests) Minimal Inria 3DGS PLY reader. Parses ASCII header up to `end_header`, validates the canonical 62-property vertex layout (x/y/z, normals, SH DC + 45 rest, opacity, scale × 3, quat × 4), reads the binary little-endian body, applies the canonical activations inline (sigmoid opacity, exp scale, normalize quat), and reorders SH into the gaussian-major channel-major layout `sh_eval_deg3` expects. Rejects ASCII bodies, big-endian, unexpected properties, and truncated files with typed `PlyError` variants. No new top-level deps — single-file hand-rolled binary parser. ### tests/splat3d_correctness.rs (5 e2e integration tests) Walks the full PR 1-6 pipeline against a synthetic 1000-gaussian cube scene (10×10×10 grid spanning [-2,2]³, colored by position via SH DC term). - `end_to_end_synthetic_cube_renders_without_panic` — pipeline produces non-trivial pixel variance (>100 lit pixels, <50% saturated) on a 256×256 render. - `end_to_end_double_buffer_swap_preserves_consistency` — SplatRenderer tick 2x; front_frame_id advances 1, 2 across both buffers. - `end_to_end_camera_translation_changes_render` — two cameras at different world positions produce DIFFERENT framebuffers (SSD > 1). - `end_to_end_empty_scene_yields_pure_background` — zero gaussians ⇒ pixel-exact background fill. - `end_to_end_three_consecutive_ticks_preserve_invariants` — 3 ticks, frame_id monotonic 1/2/3, all pixels finite (no NaN bleed). ### examples/splat3d_flex.rs (~200 LoC, runnable demo) CLI binary that loads a `.ply` scene (or falls back to the synthetic cube), bakes a circular camera path around the origin, renders N frames, writes PPM output, reports p50/p95/p99 frame timing + fps. PPM over PNG: the sprint's "no new top-level deps" invariant rules out flate2 / png crates. PPM is 14-byte header + raw RGB bytes, trivially viewable in every image tool, and `splat3d_flex.rs` documents the choice + the deferred PNG-as-followup option. Smoke test (5 frames × 256² synthetic cube on AVX2-emulated build): p50=133.63 ms, p95=146.57 ms, p99=146.57 ms, 7.5 fps The 1080p × 500K-gaussian acceptance target awaits the Inria bicycle .ply asset and a benchmarking-only session. ### benches/RESULTS.md (real measured numbers) Baselined the four PR 1 microbenches under both default (AVX2- emulated F32x16) and `target-cpu=native` (AVX-512F) builds. Honest findings: - `sandwich_simd_x16` on AVX-512 native: 1.83× over scalar loop (below the spec's 10× aspiration; the AoS↔SoA transpose at 6 fields × 16 lanes dominates the inner-loop savings for this microbench). Filed as TECH_DEBT for the performance sprint. - `sandwich_simd_x16` on AVX2-emulated default: 0.17× (slower). Documented as the polyfill's two-`__m256`-per-`F32x16` cost. TECH_DEBT: add runtime tier dispatch so AVX2 builds prefer the scalar loop, or restructure to take SoA inputs directly. - `from_scale_quat`: 9 ns on AVX-512 native (the 3DGS canonical Σ builder; GaussianBatch::covariance_x16 SIMD-batches it). - `eig_smith_1961`: 126 ns (acos dominates; diagonal fast-path bypasses the trig). Documented the per-PR follow-up bench rows that should populate when the rasterizer-driven full-pipeline bench lands. ## Sprint state (Definition of done) - [x] 7 PRs merged to splat3d branch - [x] `cargo test --features splat3d -p ndarray` green (1859 prior tests + 90 splat3d lib tests + 5 e2e + 4 PLY = 1958) - [x] `cargo bench --features splat3d` baselined in RESULTS.md - [x] `cargo run --features splat3d --example splat3d_flex` runs end-to-end (synthetic fallback OR a .ply scene) - [x] No regression in existing ndarray benches - [x] Pillar-7 probe certified in lance-graph jc (PR #403 + the rotated-axisymmetric fix in claude/jc-pillar-7-eigvec-duplicate-fix-MAOO0) ## Deferred to follow-up sprint - Inria bicycle .ply SSIM comparison vs reference CUDA (asset download required; not in this remote container). - 1080p × 500K real-data benchmark (same). - PNG output via `image`/`png` crate (gated on the no-new-deps invariant; PPM works for the v1 demo deliverable). - Performance: AVX2-tier SIMD path optimization; tile-binner radix sort; rayon-parallel rasterize_frame. - Backward pass / training pipeline (separate sprint per the sprint prompt's "After the sprint" section). https://claude.ai/code/session_017GFLBnDy23AWBqvkbHHC41
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Cargo.toml

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name = "ocr_benchmark"
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required-features = ["std"]
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[[example]]
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name = "splat3d_flex"
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required-features = ["splat3d"]
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[dependencies]
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num-integer = { workspace = true }
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num-traits = { workspace = true }

benches/RESULTS.md

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# splat3d bench results
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Per-kernel timing baseline for the `splat3d` feature. Regression > 5% on
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any row blocks merge per the sprint discipline. Update this file in the
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same commit as any change to a `splat3d` kernel.
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Per-kernel timing baseline for the `splat3d` feature. Regression > 5%
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on any row blocks merge per the sprint discipline. Update this file in
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the same commit as any change to a `splat3d` kernel.
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## Run
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```bash
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# Default build (x86-64-v1 baseline, F32x16 = AVX2-emulated 2× __m256)
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cargo bench --features splat3d --bench splat3d_bench
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# AVX-512 native build (recommended on Sapphire Rapids / Zen4)
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RUSTFLAGS="-C target-cpu=native" \
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cargo bench --features splat3d --bench splat3d_bench
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```
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Hardware notes: record the CPU model + topology + relevant target
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features (`avx512f`, `avx512bw`, `neon`, `dotprod`) for each row so the
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comparison is meaningful across reviewers' boxes.
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Hardware: record the CPU model + topology + the `target-cpu` /
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`target-feature` flags used so cross-box comparisons are meaningful.
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## PR 1 — Spd3 + EWA-sandwich SIMD batch
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| Bench | Tier | Notes |
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Baseline measurements from the sprint's reference hardware run.
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### Hardware: Intel Xeon (Sapphire Rapids family), AVX-512F+BW+VL+VNNI+BF16, 2.10 GHz, container build
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The PR 1 spec aimed for ≥10× speedup on `sandwich_x16` over the scalar
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loop on AVX-512. Measured 1.83× — the AoS↔SoA transpose overhead at 6
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fields per `Spd3` × 16 lanes dominates the inner-loop SIMD savings for
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this microbench. The downstream impact is muted because the rasterizer
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(PR 5) and `GaussianBatch::covariance_x16` (PR 2) already keep their
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hot-path data in SoA layout, avoiding the transpose. Treat the 1.83×
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microbench number as a floor; the rasterizer-driven benchmark in PR 7
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exercises the SoA-native path that benefits more strongly from F32x16.
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Per the architectural decision in `.cargo/config.toml` ("No global
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target-cpu — each kernel uses `#[target_feature(enable = "avx512f")]`
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per-function with LazyLock runtime detection"), the DEFAULT build uses
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the AVX2-emulated F32x16. The `target-cpu=native` row below shows the
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intended-tier numbers.
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#### Default build (no `target-cpu` flag)
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| Bench | Median | Speedup vs scalar |
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|---|---|---|
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| `spd3_sandwich_scalar_x16_loop` | 209.96 ns | 1.0× |
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| `spd3_sandwich_simd_x16` | 1225.7 ns | **0.17× (slower)** |
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| `spd3_eig_smith_1961` | 130.82 ns ||
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| `spd3_from_scale_quat` | 11.35 ns ||
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The SIMD regression on the AVX2-emulated build is a known artifact: the
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polyfill emits two `__m256` operations per `F32x16` op AND adds the
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6-field AoS↔SoA transpose at the function boundary. Net: more
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instructions than the scalar loop, which the autovectorizer is happy
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to map to `vfmadd` chains directly. Filed as TECH_DEBT for the
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performance sprint:
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- Restructure `sandwich_x16` to take SoA inputs directly (skip the
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transpose); call sites (rasterizer, `GaussianBatch::covariance_x16`)
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already have SoA layout.
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- Add runtime tier dispatch in `sandwich_x16` so AVX2 builds call a
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scalar loop wrapper that the compiler auto-vectorizes cleanly.
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#### `RUSTFLAGS="-C target-cpu=native"` build (AVX-512F path active)
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| Bench | Median | Speedup vs scalar |
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| `spd3_sandwich_scalar_x16_loop` | reference | 16 distinct (M, N) pairs; per-lane scale + per-lane quaternion so the optimizer cannot constant-fold |
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| `spd3_sandwich_simd_x16` | SIMD batch | same 16 inputs, single `F32x16` pass via `crate::simd` polyfill — target ≥10× faster than the scalar loop on AVX-512 (16 native lanes), ≥4× on AVX2 (2× __m256 emulation), ≥2× on NEON (4× float32x4_t) |
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| `spd3_eig_smith_1961` | reference | one Smith-1961 closed-form eigendecomp, no batching yet (PR 2+ will SIMD-batch the diag-fast-path branch) |
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| `spd3_from_scale_quat` | reference | the 3DGS canonical Σ = R · diag(s²) · Rᵀ — a microbench for PR 2's `GaussianBatch::covariance` hot path |
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| `spd3_sandwich_scalar_x16_loop` | 166.33 ns | 1.0× |
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| `spd3_sandwich_simd_x16` | 90.41 ns | **1.83×** |
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| `spd3_eig_smith_1961` | 125.66 ns | |
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| `spd3_from_scale_quat` | 9.19 ns | |
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### Hardware: <fill on first measured run>
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The 1.83× is below the 10× spec target but ABOVE the 1.0× break-even
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that gates the function's existence. With SoA inputs at the call site
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(no transpose), the inner-loop arithmetic ratio is 16-wide
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multiply-add chains vs 16 sequential scalars — measured rasterizer
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throughput (PR 5+) is where the kernel earns its keep.
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| Bench | Median (ns) | StdDev | Speedup vs scalar |
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| `spd3_sandwich_scalar_x16_loop` | TBD | TBD | 1.0× |
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| `spd3_sandwich_simd_x16` | TBD | TBD | TBD |
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| `spd3_eig_smith_1961` | TBD | TBD ||
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| `spd3_from_scale_quat` | TBD | TBD ||
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`spd3_eig_smith_1961` ≈ 126 ns: one closed-form eigendecomp dominated
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by `acos` (≈ 80 ns by itself). The diagonal-fast-path branch (which
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skips the trig entirely) is what makes the rasterizer's per-pixel
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work tractable; this microbench measures the WORST case.
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> **Note** Initial commit lands the kernels + bench harness; absolute
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> timings are baselined on the first CI run on the reference hardware
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> (Zen4 8-core AVX-512 per the sprint prompt). Subsequent PRs append
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> new rows; never overwrite prior PR rows.
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`spd3_from_scale_quat` ≈ 9 ns: the 3DGS canonical Σ builder. PR 2's
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`GaussianBatch::covariance_x16` SIMD-batches this; the scalar
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microbench is the per-call latency floor.
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## PR 2 — GaussianBatch SoA + SH eval
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(populated when PR 2 lands)
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Not yet baselined as separate benches — covered indirectly by the
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projection-kernel and rasterizer benches when PR 7 adds them.
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## PR 3 — Projection kernel
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(populated when PR 3 lands)
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Not yet baselined as a separate bench; the `project_chunk_x16`
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inner-loop math has identical AoS↔SoA structure to `sandwich_x16`
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and is expected to show similar 1.5-2× SIMD-vs-scalar ratios on
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AVX-512 native builds.
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## PR 4 — Tile binner
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Sort + prefix-sum throughput target (per the sprint spec): 2M
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instances sorted in ≤ 8 ms on 1 thread. Not yet benched separately;
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`sort_unstable_by_key` is the first-cut sort. Radix sort follow-up is
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TECH_DEBT once PR 7's full-pipeline timings show the binner is the
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hot spot.
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## PR 5 — Rasterizer
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Per-tile alpha-blend with the `F32x16` 16-pixel-row inner loop. The
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acceptance gate (1080p × 500K gaussians ≤ 25 ms on 8-core AVX-512) is
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left for the dedicated rasterizer bench in a follow-up; PR 5 ships
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the kernel + correctness tests, not the rasterizer-scale bench.
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## PR 6 — SplatFrame + SplatRenderer
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Double-buffer driver — no microbench; the full-pipeline rasterizer
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bench in a follow-up will exercise it under realistic load.
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## PR 7 — End-to-end demo
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The demo binary `examples/splat3d_flex.rs` and integration test
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`tests/splat3d_correctness.rs` ship as the e2e regression guards.
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Full-pipeline frame-time numbers (p50/p95/p99) await a Inria bicycle
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scene download — left as a follow-up for the dedicated benchmarking
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session against real-world data.

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