mirror of
https://gitlab.com/libeigen/eigen.git
synced 2025-06-20 22:52:51 +08:00

This commit re-enables the use of FMA for the FAST sqrt functions. Doing so improves the performance of both algorithms. The float32 version is now 88% the speed of the original function, while the double version is 90%.
bug #1572: use c++11 atomic instead of volatile if c++11 is available, and disable multi-threaded GEMM on non-x86 without c++11.
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 please only use the official repository at https://bitbucket.org/eigen/eigen.
For bug reports and feature requests go to http://eigen.tuxfamily.org/bz.
Languages
C++
85.1%
Fortran
8.5%
C
2.8%
CMake
1.9%
Cuda
1.2%
Other
0.4%