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.
作者: 最后更新时间: 2019/07/31 - 14:30

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

Improve Vectorization Performance with Intel® AVX-512

See how the new Intel® Advanced Vector Extensions 512CD and the Intel AVX512F subsets (available in the Intel® Xeon Phi processor and in future Intel Xeon processors) lets the compiler automatically generate vector code with no changes to the code.
作者: Alberto V. (Intel) 最后更新时间: 2019/07/08 - 19:26

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

Improving Performance of Math Functions with Intel® Math Kernel Library

作者: Nguyen, Khang T (Intel) 最后更新时间: 2019/07/07 - 10:49

Code Sample: Intel® AVX512-Deep Learning Boost: Intrinsic Functions

How developers can use to take advantage of the new Intel® AVX512-Deep Learning Boost (Intel® AVX512-DL Boost) instructions.
作者: Alberto V. (Intel) 最后更新时间: 2019/04/02 - 10:04

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: 2019/09/30 - 17:28
File Wrapper

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: 2019/10/15 - 15:30