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Intel C++Composer XE 2011 Intel Inspector XE 2011Intel VTune Amplifier XE2011

Intel C++ Composer XE 2011

作者: orgjava 最后更新时间: 2011/05/30 - 20:57
Article

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: 2016/02/02 - 11:28
Article

面向 Android* 应用的先进英特尔® C++ 编译器特性

目录 在安卓系统中使用英特尔® Cilk™ Plus 运行时间库实现应用的多线程
作者: Alexander Weggerle (Intel) 最后更新时间: 2016/05/06 - 16:41
Article

英特尔® 并行调试器扩展

Intel® Parallel Debugger Extension for Microsoft Visual Studio*
作者: Jiong Z. (Intel) 最后更新时间: 2016/02/14 - 10:19
Article

应用蚁群优化算法 (ACO) 实施交通网络扩展

In this article an OpenMP* based implementation of the Ant Colony Optimization algorithm was analyzed for bottlenecks with Intel® VTune™ Amplifier XE 2016 together with improvements using hybrid MPI-OpenMP and Intel® Threading Building Blocks were introduced to achieve efficient scaling across a four-socket Intel® Xeon® processor E7-8890 v4 processor-based system.
作者: Sunny G. (Intel) 最后更新时间: 2016/12/22 - 00:32
博客

英特尔® 数据分析加速库

The Intel® Data Analytics Acceleration Library (Intel® DAAL) helps speed big data analytics by providing highly optimized algorithmic building blocks for all data analysis stages (Pre-processing, Transformation, Analysis, Modeling, Validation, and Decision Making) for offline, streaming and distributed analytics usages. It’s designed for use with popular data platforms including Hadoop*, Spark*,...
作者: James R. 最后更新时间: 2017/03/27 - 20:43
Article

在 Matlab* 上使用英特尔® 数据分析加速库

英特尔® 数据分析加速库(英特尔® DAAL)是一种高性能库,它提供了丰富的算法集,从面向数据集的最基本的描述统计,到更高级的数据挖掘和机器学习算法。它可以帮助开发人员轻松地开发高度优化的大数据算法。

作者: Ying H. (Intel) 最后更新时间: 2017/04/08 - 08:48
Article

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
Article

借助针对英特尔® 架构优化的 Caffe* 来训练和部署深度学习网络

Caffe* is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC). Caffe optimized for Intel architecture is currently integrated with the latest release of Intel® Math Kernel Library (Intel® MKL) 2017 optimized for Advanced Vector Extensions (AVX)-2 and AVX-512 instructions which are supported in Intel® Xeon® and Intel® Xeon Phi™ processors (among others). This...
作者: Andres R. (Intel) 最后更新时间: 2017/03/06 - 19:32
Article

面向英特尔® 至强融核™ 处理器的 Offload over Fabric教程

This tutorial shows how to install Offload over Fabric (OoF) software on 2nd generation Intel® Xeon Phi™ processor, configure the hardware, test the basic configuration, and enable OoF
作者: Nguyen, Loc Q (Intel) 最后更新时间: 2017/02/24 - 00:38
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