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Requirements for Vectorizable Loops

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.
Authored by Martyn Corden (Intel) Last updated on 03/27/2019 - 14:36
Article

Automatic Parallelization with Intel® Compilers

With automatic parallelization, the compiler detects loops that can be safely and efficiently executed in parallel and generates multithreaded code.
Authored by admin Last updated on 07/04/2019 - 21:33
Article

Programming and Compiling for Intel® Many Integrated Core Architecture

This article discussions parallelization and provides links that will help you understand your programming environment and evaluate the suitability of your app.
Authored by AmandaS (Intel) Last updated on 03/26/2019 - 10:07
Article

Efficient Parallelization

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.
Authored by Ronald W Green (Blackbelt) Last updated on 03/21/2019 - 12:00
Article

The Importance of Vectorization for Intel Microarchitectures (Fortran Example)

Reference Link and Download

Intel Vectorization Tools

Authored by Martyn Corden (Intel) Last updated on 07/03/2019 - 20:00
Article

Webinar: Fortran Standard Parallel Programming Features

Fortran Standard Parallel Programming Features in Intel Compilers
Authored by Last updated on 07/04/2019 - 10:00
Article

Explicit Vector Programming – Best Known Methods

Vectorizing improves performance, and achieving high performance can save power. Introduction to tools for vectorizing compute-intensive processing.
Authored by Last updated on 04/24/2019 - 11:25
Video

Optimize a Pythagorean Prime Number Finder Using OpenMP* with the Intel® Fortran Compiler

Video tutorial explaining how to parallelize a Pythagorean prime number finder using the Intel® Visual Fortran Compiler with OpenMP*.

Authored by admin Last updated on 12/20/2018 - 15:36
Blog post

Improving MPI Communication between the Intel® Xeon® Host and Intel® Xeon Phi™

MPI Symmetric Mode is widely used in systems equipped with Intel® Xeon Phi™ coprocessors.

Authored by Nguyen, Loc Q (Intel) Last updated on 07/06/2019 - 17:10