Eigen (C++ library): Difference between revisions
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For optimal performance, I recommend using the following flags when compiling.<br> | For optimal performance, I recommend using the following flags when compiling.<br> | ||
====GCC==== | ====GCC==== | ||
*<code>-mfma</code> | *<code>-mfma</code> Enable fused multiply add | ||
*<code>-mavx2</code> Enable avx2 vector instructions | *<code>-mavx2</code> Enable avx2 vector instructions | ||
*<code>-DEIGEN_NO_DEBUG</code> Set preprocessor define for eigen optimizations | *<code>-DEIGEN_NO_DEBUG</code> Set preprocessor define for eigen optimizations | ||
*<code>-fopenmp</code> OpenMP parallel execution | *<code>-fopenmp</code> OpenMP parallel execution | ||
Revision as of 19:35, 1 October 2019
Eigen is a template header-only C++ linear algebra library. It is one of the fastest and most popular.
Usage
Compilation
Reference
For optimal performance, I recommend using the following flags when compiling.
GCC
-mfmaEnable fused multiply add-mavx2Enable avx2 vector instructions-DEIGEN_NO_DEBUGSet preprocessor define for eigen optimizations-fopenmpOpenMP parallel execution