This page contains common questions and answers on multi-threading in the Intel IPP.
Q: How to get Intel® Integrated Performance Primitives (Intel® IPP) Static threaded libraries?
How to configure OpenMP in the Intel IPP library to maximize multi-threaded performance of the Intel IPP primitives.
The following article explains on using Intel® MKL with NumPy/SciPy, Matlab, C#, Java, Python, NAG, Gromacs, Gnu Octave, PETSc, HPL, HPCC, IMSL etc.
The specific optimization and general support for the latest Intel® AVX2 instructions have been added in the Intel MKL v11.0. This article lists the specific functions that are optimized for Intel AVX2.
Sparse BLAS routines can be useful to implement iterative methods for solving large sparse systems of equations or eigenvalue problems
Intel® Inspector XE 2013