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OpenMP* and the Intel® IPP Library

How to configure OpenMP in the Intel IPP library to maximize multi-threaded performance of the Intel IPP primitives.
Authored by Last updated on 07/31/2019 - 14:30
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

Parallelization Using OpenMP*

 

Compiler Methodology for Intel® MIC Architecture

Authored by admin Last updated on 03/21/2019 - 12:00
Blog post

OpenMP* 4.0 may offer important solutions for targeting and vectorization

The upcoming OpenMP 4.0 will be discussed at SC12, and there wil

Authored by James R. (Blackbelt) Last updated on 05/28/2018 - 18:28
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

使用 OpenMP* 实现并行化

面向英特尔® MIC 架构进行应用的适用性分析

文档

Authored by Ronald W Green (Blackbelt) Last updated on 03/21/2019 - 12:08
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

Getting the Most Out of the Intel® Compiler with New Optimization Reports

Intel® Composer XE 2015 has dramatically overhauled the reporting features for such crucial optimizations as inlining, vectorization, parallelization, and memory access and cache usage optimization

Authored by admin Last updated on 03/04/2019 - 13:45
Article

Diagnostic 15527: loop was not vectorized: function call to xxx cannot be vectorized

Product Version: Intel(R) Visual Fortran Compiler XE 15.0 or a later version

Authored by Devorah H. (Intel) Last updated on 05/25/2018 - 15:30
Video

Getting Better Performance on Dijkstra’s Shortest Path Graph Algorithm using the Intel® Compiler

We optimized a version of Dijkstra’s shortest path graph algorithm using a combination of Intel® Cilk™ Plus array notation and OpenMP* parallel for.

Authored by Last updated on 03/04/2019 - 13:33