Yesterday we merged PR 19478 [0] to add a open source version of Intel's Short Vector Math library into NumPy. The original PR was by Raghuveer Devulapalli. There was a lot of discussion on the PR, but now that I look back it seems the mailing list may not have been involved. The code lives in https://github.com/numpy/SVML, and in order to pull it in you must now do `git submodule update --init` before building NumPy. The library provides AVX-512 implementations of the following math functions: exp, exp2, log, log2, log10, expm1, log1p, cbrt, pow, sin, cos, tan, asin, acos, atan, atan2, sinh, cosh, tanh, asinh, acosh and atanh, speeding them up significantly where AVX-512 is available. Before this PR was merged, Raghuveer added a set of tests for accuracy and compliance for these functions [1]. The accuracy is now defined as up to 4 ULP in the worst case for tan, cos, sin, asin, atan, expm1, but typically the error is up to 2 ULP. As SciPy already found out, some downstream libraries may need to tweak their tolerances for some functions as a result of this PR. We wanted to put it in early enough in the release cycle so that we can back it out fully or partially if the accuracy degradation is too large, so please speak up if you notice anything strange. Matti [0] https://github.com/numpy/numpy/pull/19478 [1] https://github.com/numpy/numpy/pull/19485