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A Guide to Auto-vectorization with Intel® C++ Compilers

How to use the automatic vectorizer of the Intel® C/C++ Compiler to optimize your application using Intel® Streaming SIMD Extensions (Intel® SSE) or Intel® Advanced Vector Extensions (Intel® AVX).
Authored by mark-sabahi (Intel) Last updated on 06/07/2017 - 10:42
Article

Intel® Performance Counter Monitor - A better way to measure CPU utilization

The Intel® Performance Counter Monitor provides sample C++ routines and utilities to estimate the internal resource utilization of the latest Intel® Xeon® and Core™ processors and gain a significant performance boost.
Authored by Thomas Willhalm (Intel) Last updated on 06/01/2017 - 11:24
Article
Article

Redistributable libraries for Intel® C++ and Fortran Composer XE 2013 for OS X*

Overview

This article contains links to the redistributable installation packages for the Intel C++ and Fortran Composer XE 2013 for OS X*.

Authored by Jennifer J. (Intel) Last updated on 06/07/2017 - 10:08
Article

Computing Language Utility

The Computing Language Utility (CLU) is a lightweight API designed to help programmers explore, learn, and rapidly prototype programs with OpenCL.

Authored by admin Last updated on 06/07/2017 - 10:45
Article

Programming for Multicore and Many-core Products including Intel® Xeon® processors and Intel® Xeon Phi™ X100 Product Family coprocessors

The programming models in use today, used for multicore processors every day, are available for many-core coprocessors as well. Therefore, explaining how to program both Intel Xeon processors and Intel Xeon Phi coprocessor is best done by explaining the options for parallel programming. This paper provides the foundation for understanding how multicore processors and many-core coprocessors are...
Authored by James R. Last updated on 06/14/2017 - 13:16
Article

Improving graphics processing performance using Intel(R) Cilk(TM) Plus

Author(s): Anoop Madhusoodhanan Prabha, Mark Sabahi

Authored by mark-sabahi (Intel) Last updated on 06/07/2017 - 11:57
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.

Authored by Zhang, Zhang (Intel) Last updated on 06/01/2017 - 11:19
Article

Android开发中的多线程编程技术

多线程这个令人生畏的“洪水猛兽”,很多人谈起多线程都心存畏惧。在Android开发过程中,多线程真的很难吗?多线程程序的“麻烦”源于它很抽象、与单线程程序运行模式不同,但只要掌握了它们的区别,编写多线程程序就会很容易了。下面让我们集中精力开始学习吧!

Authored by jing M. Last updated on 02/24/2017 - 12:04
For more complete information about compiler optimizations, see our Optimization Notice.