6× faster binary search: from compiled code to mechanical sympathy
3 hours ago
- #mechanical sympathy
- #SIMD programming
- #binary search optimization
- Binary search optimization in scikit-learn involves reducing branch mispredictions for speed gains.
- Switching from standard binary search to a branchless version eliminates unpredictable if/while branches.
- Precomputing halving values and using unsafe Rust for bounds checks further reduces work and branches.
- Auto-vectorization and SIMD instructions, enabled by restructuring loops, achieve a 6x speedup.
- Mechanical sympathy—understanding CPU behavior—is key to performance beyond algorithms and compilation.