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Rasmus Munk Larsen b47c777993 Block transposeInPlace() when the matrix is real and square. This yields a large speedup because we transpose in registers (or L1 if we spill), instead of one packet at a time, which in the worst case makes the code write to the same cache line PacketSize times instead of once. 
rmlarsen@rmlarsen4:.../eigen_bench/google3$ benchy --benchmarks=.*TransposeInPlace.*float.* --reference=srcfs experimental/users/rmlarsen/bench:matmul_bench
 10 / 10 [====================================================================================================================================================================================================================] 100.00% 2m50s
(Generated by http://go/benchy. Settings: --runs 5 --benchtime 1s --reference "srcfs" --benchmarks ".*TransposeInPlace.*float.*" experimental/users/rmlarsen/bench:matmul_bench)

name                                       old time/op             new time/op             delta
BM_TransposeInPlace<float>/4               9.84ns ± 0%             6.51ns ± 0%  -33.80%          (p=0.008 n=5+5)
BM_TransposeInPlace<float>/8               23.6ns ± 1%             17.6ns ± 0%  -25.26%          (p=0.016 n=5+4)
BM_TransposeInPlace<float>/16              78.8ns ± 0%             60.3ns ± 0%  -23.50%          (p=0.029 n=4+4)
BM_TransposeInPlace<float>/32               302ns ± 0%              229ns ± 0%  -24.40%          (p=0.008 n=5+5)
BM_TransposeInPlace<float>/59              1.03µs ± 0%             0.84µs ± 1%  -17.87%          (p=0.016 n=5+4)
BM_TransposeInPlace<float>/64              1.20µs ± 0%             0.89µs ± 1%  -25.81%          (p=0.008 n=5+5)
BM_TransposeInPlace<float>/128             8.96µs ± 0%             3.82µs ± 2%  -57.33%          (p=0.008 n=5+5)
BM_TransposeInPlace<float>/256              152µs ± 3%               17µs ± 2%  -89.06%          (p=0.008 n=5+5)
BM_TransposeInPlace<float>/512              837µs ± 1%              208µs ± 0%  -75.15%          (p=0.008 n=5+5)
BM_TransposeInPlace<float>/1k              4.28ms ± 2%             1.08ms ± 2%  -74.72%          (p=0.008 n=5+5)
2020-04-28 16:08:16 +00:00
bench Make file formatting comply with POSIX and Unix standards 2020-03-23 18:09:02 +00:00
blas STYLE: Remove CMake-language block-end command arguments 2019-10-31 11:36:27 -05:00
cmake [SYCL] Rebasing the SYCL support branch on top of the Einge upstream master branch. 2019-11-28 10:08:54 +00:00
debug MIsc. source and comment typos 2018-03-11 10:01:44 -04:00
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doc Update PreprocessorDirectives.dox - Added line for the new VectorwiseOp plugin directive (and re-alphabatized the plugin section) 2020-04-17 21:43:37 +00:00
Eigen Block transposeInPlace() when the matrix is real and square. This yields a large speedup because we transpose in registers (or L1 if we spill), instead of one packet at a time, which in the worst case makes the code write to the same cache line PacketSize times instead of once. 2020-04-28 16:08:16 +00:00
failtest Make file formatting comply with POSIX and Unix standards 2020-03-23 18:09:02 +00:00
lapack STYLE: Convert CMake-language commands to lower case 2019-10-31 11:36:37 -05:00
scripts Replace calls to "hg" by calls to "git" 2019-12-04 11:24:06 +01:00
test Block transposeInPlace() when the matrix is real and square. This yields a large speedup because we transpose in registers (or L1 if we spill), instead of one packet at a time, which in the worst case makes the code write to the same cache line PacketSize times instead of once. 2020-04-28 16:08:16 +00:00
unsupported Add async evaluation support to TensorSlicingOp. 2020-04-22 19:55:01 +00:00
.gitignore Renamed .hgignore to .gitignore (removing hg-specific "syntax" line) 2019-12-13 19:40:57 +01:00
.hgeol Added a pattern which forces LF line endings for *.sh files. 2013-07-31 18:20:58 +02:00
CMakeLists.txt Don't restrict CMAKE_BUILD_TYPE 2020-02-28 20:46:53 +00:00
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INSTALL
README.md Update old links to bitbucket to point to gitlab.com 2019-12-04 10:57:07 +01:00
signature_of_eigen3_matrix_library

README.md

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.