Are the Intel Fortran run-time libraries thread safe?
The purpose of this document is to help developers determine which FFT, Intel® MKL or Intel® IPP is best suited for their application.
Vectorization is one of many optimizations that are enabled by default in the latest Intel compilers. In order to be vectorized, loops must obey certain conditions, listed below. Some additional ways to help the compiler to vectorize loops are described.
Diagnostic 7866: The statement following this DEC loop optimization directive must be an iterative do-stmt, a vector assignment, an OMP do-directive or a parallel-do-directive, or an OMP simd-directive or a do-simd-directive
Diagnostic 7866: The statement following this DEC loop optimization directive must be an iterative do-stmt, a vector assignment, an OMP do-directive or a parallel-do-directive, or an OMP simd-direc
Advice and background information is given on typical issues that may arise when threading an application using the Intel Fortran Compiler and other software tools, whether using OpenMP, automatic parallelization or threaded libraries.
Many functions in Intel® Math Kernel Library (MKL) have multiple entry points. This article describes the entry points that exist and why they are there.
The multi-core performance of a legacy Fortran benchmark unsuited to data parallelism is enhanced by threading using the TASK construct of OpenMP and the Intel Fortran Compiler. The necessary source code changes are explained in detail.
Guided Auto-Parallel - compiler feature providing guidance to user on what changes are necessary for the compiler to automatically add vectorization or parallelization to serial application.