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.
A toolkit that gives 6 Steps to Increase Performance Through Vectorization in Your Application
Examples of vectorizing Fortran applications
Get tips for common vectorization functions, such as handling user-defined function calls inside vector loops.
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Intel Vectorization Tools
Fortran Standard Parallel Programming Features in Intel Compilers
Vectorizing improves performance, and achieving high performance can save power. Introduction to tools for vectorizing compute-intensive processing.
Use the BLOCK_LOOP directive to improve cache utilization in loops, especially vectorized loops
Get an overview of parallelization using the Intel® MPI Library and links to additional documentation.