To integrate third-party libraries like OpenBLAS, LAPACK, and Intel MKL into an Armadillo application for performance improvement, follow these steps:
1. Install the desired library (OpenBLAS, LAPACK, or Intel MKL) on your system.
2. Configure Armadillo to use the installed library by modifying the “include” and “library” paths in the build system (e.g., CMakeLists.txt).
3. In your Armadillo-based code, include the appropriate header files for the chosen library.
4. Use Armadillo’s built-in functions that automatically utilize the optimized routines from the third-party libraries, such as matrix multiplication, decomposition, and solving linear systems.
5. Compile and link your application with the necessary flags to enable the usage of the third-party libraries. For example, when using Intel MKL, add “-lmkl_rt” to the linker flags.
By integrating these high-performance libraries, you can leverage their optimized implementations of mathematical operations, resulting in improved performance for your Armadillo application.
