The acquisition loop ran acquisition_samples GP predictions per BO
iteration, each allocating three short-lived Vecs: the candidate point,
the k_star kernel vector, and solve_lower's output. Threading reused
buffers through new sample_uniform_in_bounds_into / predict_into /
solve_lower_into entry points removes ~3000 alloc/free pairs from
bayesian_opt_short.
bayesian_opt_short: 2_398_972 -> 2_255_904 (-6%). This is a structural
(allocation) win, not an algorithmic one -- the GP fit (Cholesky) and EI
prediction are inherently O(n^2)/O(n^3) with transcendental kernels, and
that work is unchanged. Output bit-identical -- all 606 tests pass,
including the run() snapshot; async builds clean.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
swaitsandClaude Opus 4.7
c50e390969