In very large, complex functions, loops preceded by OpenMP directives may not be threaded. Compiler may emit the warning remark: "An internal threshold was exceeded: loops may not be vectorized or parallelized. Try to reduce routine size."
Linker error generated when different parts of a program try to link both the static and dynamic versions of the OpenMP runtime. The solution is to expilcitly call out either a dynamic or static link.
The Intel® Compilers provide an OpenMP* runtime library to enable mixed Microsoft Visual C++* and Intel Compiler builds that both use OpenMP*.
With automatic parallelization, the compiler detects loops that can be safely and efficiently executed in parallel and generates multithreaded code.
The Intel C++ and Fortran compilers for Windows* and Linux* provide 'legacy' and 'compatibility' implementations of the OpenMP THREADPRIVATE directive. The 'compatibility' option should not be used when everything is compiled by Intel compilers.
The newest releases of the Intel® C++ and Fortran Compilers support new features in the OpenMP* 3.1 Specification
Intel MKL in Microsoft Visual Studio
Sparse BLAS routines can be useful to implement iterative methods for solving large sparse systems of equations or eigenvalue problems
This article discussions parallelization and provides links that will help you understand your programming environment and evaluate the suitability of your app.
This article is part of the Intel® Modern Code Developer Community documentation which supports developers in leveraging application performance in code through a systematic step-by-step optimization framework methodology. This article addresses: Thread level parallelization.