# Optimization: SoA (float version) - **Author**: Smail - **Predecessor**: variant_float_inlining_SoA.cpp - **File(s)**: variants/variant_float_inlining_SoA_symmetry.cpp - **Status**: TBD ## What this changes Implemented a LUT for calculating the distances since they are symmetric. Saves n_p/2 sqrt ## Code (relevant snippet) See `variants/variant_float_inlining_SoA.cpp`. ## Benchmark Conditions: min of N runs (TBD), N_ITER=1000, -O3 -march=native -flto. Diff is vs `variant_float_inlining`. ### x86 **Machine**: TBD **Frequency**: TBD | N | W(n) [Flops] | T(n) [Cycles] | Performance [Flops/Cycle] | Diff vs Predecessor | | ---- | ------------ | ------------- | ------------------------- | ------------------- | | 50 | | | | | | 100 | | | | | | 200 | | | | | | 500 | | | | | ### ARM (Apple) **Machine**: TBD **Frequency**: TBD | N | W(n) [Flops] | T(n) [Cycles] | Performance [Flops/Cycle] | Diff vs Predecessor | | ---- | ------------ | ------------- | ------------------------- | ------------------- | | 50 | | | | | | 100 | | | | | | 200 | | | | | | 500 | | | | | ## Analysis Layout change only, so the expectation is roughly no win on its own. The float scalar loop already auto-vectorises in pieces with `-O3 -march=native`, so SoA doesnt buy much over what the AoS version was already doing. The real payoff lands in the AVX2 child. Verify passes against `baseline_float_n60_i500.csv` (from `variant_float_baseline`) at the 1cm tolerance. ## Takeaway Setup step for the AVX2 variant.