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
This article discussions parallelization and provides links that will help you understand your programming environment and evaluate the suitability of your app.
Cache Blocking Techniques Overview
Memory Layout Transformations Overview
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.
Get an overview of parallelization using the Intel® MPI Library and links to additional documentation.
Optimization reports from the Intel® compilers guide the developer with optimization details
Get tips for common vectorization functions, such as handling user-defined function calls inside vector loops.
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