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Article

Intel® MKL and Intel® IPP: Choosing a High Performance FFT

The purpose of this document is to help developers determine which FFT, Intel® MKL or Intel® IPP is best suited for their application.
作者: 最后更新时间: 2019/07/31 - 14:23
Article

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.
作者: Martyn Corden (Intel) 最后更新时间: 2019/03/27 - 14:36
Article

Threading Fortran Applications for Parallel Performance on Multi-Core Systems

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.
作者: Martyn Corden (Intel) 最后更新时间: 2018/12/12 - 18:00
Article

Using Tasking in OpenMP* with the Intel® Fortran Compiler

The multi-core performance of a legacy Fortran benchmark unsuited to data parallelism is enhanced by threading using the TASK construct of OpenMP and the Intel Fortran Compiler. The necessary source code changes are explained in detail.
作者: Martyn Corden (Intel) 最后更新时间: 2019/07/04 - 10:00
Article

Guided Auto-Parallel (GAP)

Guided Auto-Parallel - compiler feature providing guidance to user on what changes are necessary for the compiler to automatically add vectorization or parallelization to serial application.
作者: An Le (Intel) 最后更新时间: 2018/12/31 - 15:00
Article

Which applications are most likely to benefit from recompilation for Intel® Advanced Vector Extensions (Intel® AVX)?

Applications containing vectorizable, floating-point loops or calls to performance libraries are the most likely to see significant performance gains from rebuilding for the Intel® Advanced Vector Extensions (Intel® AVX)
作者: Martyn Corden (Intel) 最后更新时间: 2018/08/22 - 17:05
博客

OpenMP* 4.0 may offer important solutions for targeting and vectorization

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

作者: James R. (Blackbelt) 最后更新时间: 2018/05/28 - 18:28
Article

Optimize Financial Applications using Intel® Math Kernel Library

Intel® Math Kernel Library (Intel® MKL) contains a wealth of highly optimized math functions that are fundamental to a wide variety of Financial Applications.

作者: Zhang, Zhang (Intel) 最后更新时间: 2018/05/25 - 15:30
Article
Article

Intel® Trace Collector Filtering

Filtering in the Intel® Trace Collector will apply specified filters to the trace collection process.  This directly reduces the amount of data collected.  The filter rules can be applied either vi

作者: James T. (Intel) 最后更新时间: 2019/07/06 - 19:14