Optimize Data Layout with SIMD Templates

Contrast results for manually tuning financial data and using data layout templates in the Intel® C++ Compiler.
作者: Nimisha R. (Intel) 最后更新时间: 2018/12/12 - 18:00

Debug Intel® Transactional Synchronization Extensions

If printf or fprintf functions cause transaction aborts, use Intel® Processor Trace as a work-around.
作者: Roman Dementiev (Intel) 最后更新时间: 2019/07/04 - 17:00

How to Protect Apps from Buffer Overflow Attacks

Learn how to enhance security for software on Windows® 10 using Intel® Memory Protection Extensions.
作者: Fanjiang Pei (Intel) 最后更新时间: 2018/05/30 - 07:08

Improve Performance with Vectorization

This article focuses on the steps to improve software performance with vectorization. Included are examples of full applications along with some simpler cases to illustrate the steps to vectorization.
作者: David M. 最后更新时间: 2019/07/06 - 16:40

Quick Analysis of Vectorization Using Intel® Advisor

Find out how to use the command-line interface in Intel® Advisor 2017 for a quick, initial analysis of loop performance that gives an overview of the hotspots in your code.
作者: Alberto V. (Intel) 最后更新时间: 2019/03/21 - 12:00

Implementing a Masked SVML-like Function Explicitly in User-Defined Way

The Intel® Compiler provides SIMD intrinsics APIs for short vector math library (SVML) and starting with Intel® Advanced Vector Extensions

作者: 最后更新时间: 2019/07/16 - 08:37

CuriePME - Using the DrawingInTheAir Example 来自 Intel® Curie™ Open Developer Kit (ODK)

This section explains how to get and run the DrawingInTheAir example to try the pattern matching engine ability to learn and recognize letters.

最后更新时间: 2019/03/10 - 23:00

API Reference for the Intel Pattern Matching Technology Library 来自 Intel® Curie™ Open Developer Kit (ODK)

The Intel Pattern Matching Technology Library provides a range of API functions. The API functions and variables are described in this section:

最后更新时间: 2019/03/10 - 23:00

How to Develop your Own Application Using CuriePME 来自 Intel® Curie™ Open Developer Kit (ODK)

Breakdown of the DrawingInTheAir Example
最后更新时间: 2019/03/10 - 23:00

Performance of Classic Matrix Multiplication Algorithm on Intel® Xeon Phi™ Processor System

Matrix multiplication (MM) of two matrices is one of the most fundamental operations in linear algebra. The algorithm for MM is very simple, it could be easily implemented in any programming language. This paper shows that performance significantly improves when different optimization techniques are applied.
作者: 最后更新时间: 2019/06/14 - 11:50