Vectorization Advisor 助您一臂之力

Vectorization Advisor is like having a trusted friend look over your code and give you advice based on what he sees. As you’ll see in this article, user feedback on the tool has included, “there are significant speedups produced by following advisor output, I'm already sold on this tool!”
作者: stephen-blair-chappell (Intel) 最后更新时间: 2017/06/07 - 10:37

Intel® Parallel Studio和Intel® Parallel Studio XE特性比较

英特尔公司发布了两款面向并行软件开发的软件产品,他们是Intel® Parallel Studio和Intel® Parallel Studio XE。为了方便比较这两款软件的特点,现将它们的特性罗列如下:支持的开发平台

作者: 最后更新时间: 2017/06/14 - 15:51
Forum topic

Intel(r) Parallel Studio

Intel Parallel Studio 20114Intel Parallel Advisor Intel Parallel Composer, Intel Parallel InspectorIntel Parallel Amplifier3~8

Intel Parallel Advisor

作者: Chi G. (Intel) 最后更新时间: 2010/10/09 - 01:00

使用Intel® Parallel Studio优化程序性能实例分析


作者: 宋志凯 (Intel) 最后更新时间: 2017/06/07 - 10:14
Forum topic

Parallel Building Block

Intel Parallel Studio 2011

作者: Chi G. (Intel) 最后更新时间: 2010/10/11 - 23:03

英特尔® Parallel Studio XE 2015 集群版本初始版本自述文件

面向 Linux* 和 Windows* 的英特尔® Parallel Studio XE 2015 集群版本集所有英特尔® Parallel Studio XE 和英特尔® 集群工具于一个软件包。 这个由多个组件组成的软件工具包包含了核心库和工具,为使用英特尔处理器的群集提供高效的开发、优化、运行和分布并行应用程序。

作者: Gergana S. (Intel) 最后更新时间: 2017/06/07 - 09:38

整理您的数据和代码: 数据和布局 - 第 2 部分

Apply the concepts of parallelism and distributed memory computing to your code to improve software performance. This paper expands on concepts discussed in Part 1, to consider parallelism, both vectorization (single instruction multiple data SIMD) as well as shared memory parallelism (threading), and distributed memory computing.
作者: David M. 最后更新时间: 2017/06/07 - 12:22

面向英特尔® 至强融核™ 处理器(代号“Knights Landing”)的开发人员访问计划

Intel is bringing to market, in anticipation of general availability of the Intel® Xeon Phi™ Processor (codenamed Knights Landing), the Developer Access Program (DAP). DAP is an early access program for developers worldwide to purchase an Intel Xeon Phi Processor based system.
作者: Mike P. (Intel) 最后更新时间: 2017/06/07 - 10:56


作者:Jackson M
作者: Jiong Z. (Intel) 最后更新时间: 2017/06/14 - 13:00

借助 SIMD 数据布局模板和数据预处理提高 SIMD 在动画中的使用效率

In this paper, we walk through a 3D Animation algorithm example and describe some techniques and methodologies that may benefit your next vectorization endeavors. We also integrate the algorithm with SIMD Data Layout Templates (SDLT), which is a feature of Intel® C++ Compiler, to improve data layout and SIMD efficiency. Includes code sample.
作者: Anson Chu (Intel) 最后更新时间: 2017/01/26 - 00:49