With automatic parallelization, the compiler detects loops that can be safely and efficiently executed in parallel and generates multithreaded code.
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Intel Vectorization Tools
Vectorizing improves performance, and achieving high performance can save power. Introduction to tools for vectorizing compute-intensive processing.
Video tutorial explaining how to parallelize a Pythagorean prime number finder using the Intel® Visual Fortran Compiler with OpenMP*.
The Intel® C++ Compiler 19.0 and the Intel® Fortran Compiler 19.1 support the OpenMP* SIMD SCAN feature for inclusive and exclusive scans.
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.
Intel® Parallel Studio XE is a very popular product from Intel that includes the Intel® Compilers, Intel® Performance Libraries, tools for analysis, debugging and tuning, tools for MPI and the Intel® MPI Library. Did you know that some of these are available for free? Here is a guide to “what is available free” from the Intel Parallel Studio XE suites.