⚡ Bolt: avoid libm::sqrt in Sparse Attention Graph spatial scans#122
⚡ Bolt: avoid libm::sqrt in Sparse Attention Graph spatial scans#122teerthsharma wants to merge 1 commit into
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Replaced the `distance() < epsilon` check in `is_neighbor` with an inline loop using squared distances and an early exit. This eliminates the `libm::sqrt` overhead inside the critical path of `SparseAttentionGraph::add_point`, which performs O(N) neighbor checks for every new point on the manifold. NaN thresholds and values are safely handled. Co-authored-by: teerthsharma <78080953+teerthsharma@users.noreply.github.com>
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💡 What: Replaced the full
distance() < epsiloncalculation inManifoldPoint::is_neighborwith an inline loop that computes squared distances and exits early if the accumulated sum exceedsepsilon^2.🎯 Why: The
is_neighborfunction is a critical bottleneck called inside the innerO(N)loop ofSparseAttentionGraph::add_point. Computing thelibm::sqrtand evaluating all dimensions for distant points introduces severe computational overhead.📊 Impact: Significantly accelerates point additions in the topological pipeline by avoiding
sqrtand short-circuiting distance evaluations.🔬 Measurement: Verify by running
cargo test -p aether-coreand observing no regressions inmanifold::tests::test_sparse_attention_neighborandtest_point_distance. Run micro-benchmarks onadd_pointto measure latency improvements.PR created automatically by Jules for task 4446327687940072145 started by @teerthsharma