Optimize matrix*matrix and matrix*vector products when they correspond to inner products at runtime. This speeds up inner products where the one or or both arguments is dynamic for small and medium-sized vectors (up to 32k). name old time/op new time/op delta BM_VecVecStatStat<float>/1 1.64ns ± 0% 1.64ns ± 0% ~ BM_VecVecStatStat<float>/8 2.99ns ± 0% 2.99ns ± 0% ~ BM_VecVecStatStat<float>/64 7.00ns ± 1% 7.04ns ± 0% +0.66% BM_VecVecStatStat<float>/512 61.6ns ± 0% 61.6ns ± 0% ~ BM_VecVecStatStat<float>/4k 551ns ± 0% 553ns ± 1% +0.26% BM_VecVecStatStat<float>/32k 4.45µs ± 0% 4.45µs ± 0% ~ BM_VecVecStatStat<float>/256k 77.9µs ± 0% 78.1µs ± 1% ~ BM_VecVecStatStat<float>/1M 312µs ± 0% 312µs ± 1% ~ BM_VecVecDynStat<float>/1 13.3ns ± 1% 4.6ns ± 0% -65.35% BM_VecVecDynStat<float>/8 14.4ns ± 0% 6.2ns ± 0% -57.00% BM_VecVecDynStat<float>/64 24.0ns ± 0% 10.2ns ± 3% -57.57% BM_VecVecDynStat<float>/512 138ns ± 0% 68ns ± 0% -50.52% BM_VecVecDynStat<float>/4k 1.11µs ± 0% 0.56µs ± 0% -49.72% BM_VecVecDynStat<float>/32k 8.89µs ± 0% 4.46µs ± 0% -49.89% BM_VecVecDynStat<float>/256k 78.2µs ± 0% 78.1µs ± 1% ~ BM_VecVecDynStat<float>/1M 313µs ± 0% 312µs ± 1% ~ BM_VecVecDynDyn<float>/1 10.4ns ± 0% 10.5ns ± 0% +0.91% BM_VecVecDynDyn<float>/8 12.0ns ± 3% 11.9ns ± 0% ~ BM_VecVecDynDyn<float>/64 37.4ns ± 0% 19.6ns ± 1% -47.57% BM_VecVecDynDyn<float>/512 159ns ± 0% 81ns ± 0% -49.07% BM_VecVecDynDyn<float>/4k 1.13µs ± 0% 0.58µs ± 1% -49.11% BM_VecVecDynDyn<float>/32k 8.91µs ± 0% 5.06µs ±12% -43.23% BM_VecVecDynDyn<float>/256k 78.2µs ± 0% 78.2µs ± 1% ~ BM_VecVecDynDyn<float>/1M 313µs ± 0% 312µs ± 1% ~
Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms.
For more information go to http://eigen.tuxfamily.org/.
For pull request, bug reports, and feature requests, go to https://gitlab.com/libeigen/eigen.