Фильтры

Article

Intel® IPP - Using Intel® IPP in Java* applications

More Information about using Intel® IPP in Java* applications
Автор: Последнее обновление: 31.07.2019 - 14:30
Article

Using Intel® IPP Threaded Static Libraries

Q: How to get Intel® Integrated Performance Primitives (Intel® IPP) Static threaded libraries?

Автор: Последнее обновление: 31.07.2019 - 14:30
Article

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.
Автор: Последнее обновление: 31.07.2019 - 14:30
Article

Threading Intel® Integrated Performance Primitives Image Resize with Intel® Threading Building Blocks

Threading Intel® IPP Image Resize with Intel® TBB.pdf (157.18 KB) :
Автор: Jeffrey M. (Intel) Последнее обновление: 31.07.2019 - 15:05
Блоги

Fun with Intel® Transactional Synchronization Extensions

By now, many of you have heard of Intel® Transactional Synchronization Extensions (Intel® TSX).

Автор: Последнее обновление: 04.07.2019 - 17:00
Article

如何使用Intel Cilk Plus扩展,加速你的Android程序的多核性能

Intel Cilk Plus是英特尔编译器的一个语法扩展特性,用于快速简单的实现多线程,从而提升应用程序在多核系统上的性能。随着Android系统的核心越来越多,合理的利用其多核心的特性也显得越来越重要。
Автор: shenghong-geng (Intel) Последнее обновление: 15.05.2018 - 18:02
Article

How to Use Intel® Cilk™ Plus Extension to Speed Up your Android* Application with Threading Features

Intel® Cilk™ Plus is a set of language extension of Intel® compiler, which can help to quickly and easily implement parallelism and vectorization for C/C++ code.

Автор: shenghong-geng (Intel) Последнее обновление: 15.05.2018 - 17:57
Блоги

Optimized Pseudo Random Number Generators with AVX2

Intel® Math Kernel Library includes powerful and versatile random number generators that have been optimized to take full advantage of Intel

Автор: gaston-hillar (Blackbelt) Последнее обновление: 06.07.2019 - 17:00
Article

使用英特尔编译器编译Android程序 (Windows开发平台为例)

英特尔编译器支持Android程序的编译,能极大的提升程序的性能。
Автор: shenghong-geng (Intel) Последнее обновление: 09.05.2019 - 13:00
Блоги

Optimizing Big Data processing with Haswell 256-bit Integer SIMD instructions

Big Data requires processing huge amounts of data. Intel Advanced Vector Extensions 2 (aka AVX2) promoted most Intel AVX 128-bits integer SIMD instruction sets to 256-bits.

Автор: gaston-hillar (Blackbelt) Последнее обновление: 06.07.2019 - 17:00