Using Intel® C++ Compiler with the Eclipse* IDE on Linux*

This article describes how to integrate and use the Intel® C++ Compiler for Linux* with the Eclipse* IDE
作者: 最后更新时间: 2017/06/07 - 10:48

Intel® IPP - Library dependencies by domain

IPP demain dependencies.
作者: 管理 最后更新时间: 2019/07/31 - 14:30

Using Intel® MKL in GROMACS

This application note will explains how to use Intel MKL with GROMACS
作者: 最后更新时间: 2019/03/25 - 09:50

Demo: Advantage of Westmere Crypto Acceleration Engine

Purpose of this demo is to show an advantage of Westmere Crypto Acceleration Engine.
作者: 最后更新时间: 2019/02/04 - 15:08

Intel® AVX2 optimization in Intel® MKL

The specific optimization and general support for the latest Intel® AVX2 instructions have been added in the Intel MKL v11.0. This article lists the specific functions that are optimized for Intel AVX2.
作者: 最后更新时间: 2019/07/06 - 16:30

Why Sunshine and Bug Fixing Go Together

I was having lunch at the recent LinuxCon and Plumbers conference with a colleague, bragging as usual about how much I love my home near Portland, Oregon.

作者: David S. (Blackbelt) 最后更新时间: 2019/07/04 - 17:03

Intel® System Studio - Multicore Programming with Intel® Cilk™ Plus

Intel System Studio not only provides a variety of signal processing primitives via Intel® Integrated Performance Primitives (Intel® IPP), and Intel® Math Kernel Library (Intel® MKL), but also allows developing high-performance low-latency custom code (Intel C++ Compiler with Intel Cilk Plus). Since Intel Cilk Plus is built into the compiler, it can be used where it demands an efficient threading...
作者: Hans P. (Intel) 最后更新时间: 2017/12/11 - 10:48

Building OpenCV* 3.0-based embedded application using Intel® System Studio 2015

We describe how to use Intel® System Studio 2015 to build the OpenCV* 3.0-based embedded application on Intel platforms. In this paper, we have considered a sample code that is part of OpenCV, how to use different components of Intel® System Studio to build OpenCV sample code.
作者: 最后更新时间: 2018/12/13 - 14:10

How to Resolve ARPACK issues with Intel MKL 11.0 Update 3

Some ARPACK users have reported stability issues after upgrading to the Intel® Math Kernel Library (Intel® MKL

作者: Zhang, Zhang (Intel) 最后更新时间: 2017/06/07 - 10:25

Using Intel® MPI Library and Intel® Xeon Phi™ Coprocessor Tips

1. Check prerequisites Each host and each Intel® Xeon Phi™ coprocessor should have a unique IP address across a cluster;
作者: Dmitry S. (Intel) 最后更新时间: 2019/06/14 - 13:39