Description
Numerical applications can use optimized BLAS, LAPACK, and CBLAS routines from OpenBLAS for linear algebra workloads. It is useful for scientific computing, machine learning, statistics, and engineering tools that need faster matrix operations.
Math library changes can affect performance and small numeric differences. Test important workloads when switching BLAS or LAPACK providers.