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πŸ“‰ The Bottleneck: The blend_gaussians function was bandwidth-bound, reloading 88 bytes of Gaussian data for every single pixel (100M loads for 100 frames).
πŸš€ The Boost: Before: 1.60s -> After: 1.56s (~2.7% improvement).
πŸ’» Technical Detail: Implemented blend_gaussians_block_2x2 which processes 2x2 pixel blocks. This reuses the loaded Gaussian data (mean, conic, color) for 4 pixels, reducing memory loads by 4x. Also added #[inline] to hot math functions.
πŸ§ͺ Verification: Verified correctness with cargo test and benchmark output comparison (results match). PDR entry added to .jules/profiler.md.


PR created automatically by Jules for task 4031989690945417743 started by @fderuiter

- Implemented `blend_gaussians_block_2x2` in `rendering.rs` to process pixels in 2x2 blocks, reusing Gaussian data and reducing memory loads by 4x.
- Added `#[inline]` to `evaluate_gaussian_opacity` and `blend_gaussians` for better cross-crate optimization.
- Updated `bench_gaussian.rs` to benchmark the new tiled approach.
- Added performance record to `.jules/profiler.md`.

Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
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fderuiter and others added 2 commits January 30, 2026 20:23
Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
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2 participants