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英特尔向量化工具箱:4. 使用英特尔编译器GAP报告和工具箱资源获取建议

英特尔向量化工具箱:4. 使用英特尔编译器GAP报告和工具箱资源获取建议
Criado por Ronald W Green (Blackbelt) Última atualização em 07/06/2017 - 10:44
Article

英特尔向量化工具箱:3. 使用英特尔编译器的向量化报告确定候选循环

英特尔向量化工具箱:3. 使用英特尔编译器的向量化报告确定候选循环
Criado por Ronald W Green (Blackbelt) Última atualização em 25/05/2018 - 15:30
Article

英特尔向量化工具箱:2. 使用Intel® VTune™ Amplifier XE确定程序热点

英特尔向量化工具箱:2. 使用Intel® VTune™ Amplifier XE确定程序热点
Criado por Ronald W Green (Blackbelt) Última atualização em 07/06/2017 - 10:42
Article

诊断信息 15532: 循环无法进行矢量化处理:编译时间不足妨碍了循环进行优化

产品版本: Intel(R) Visual Fortran 编译器 XE 15.0.0.070

原因:

使用 Visual Fortran 编译器的优化选项 ( -O2  -Qopt-report:2 )  时出现矢量化报告,表示编译时间不足妨碍了优化。

Criado por Devorah H. (Intel) Última atualização em 05/07/2019 - 14:23
Article

整理您的数据和代码: 优化和内存 — 第 1 部分

This series of two articles discusses how data and memory layout affect performance and suggests specific steps to improve software performance. The basic steps shown in these two articles can yield significant performance gains. These two articles are designed at an intermediate level. It is assumed the reader desires to optimize software performance using common C, C++ and Fortran* programming...
Criado por David M. Última atualização em 12/12/2018 - 18:00
Article

Приводим данные и код в порядок: оптимизация и память, часть 1

This series of two articles discusses how data and memory layout affect performance and suggests specific steps to improve software performance. The basic steps shown in these two articles can yield significant performance gains. These two articles are designed at an intermediate level. It is assumed the reader desires to optimize software performance using common C, C++ and Fortran* programming...
Criado por Última atualização em 12/12/2018 - 18:00
Article

安装英特尔® Theano*软件优化包和支持工具

Theano* is a Python* library developed at the LISA lab to define, optimize, and evaluate mathematical expressions, including the ones with multi-dimensional arrays. Theano can be installed and used with several combinations of development tools and libraries on a variety of platforms. This tutorial provides one such recipe describing steps to build and install Intel-optimized Theano with Intel®...
Criado por Sunny G. (Intel) Última atualização em 08/05/2018 - 10:50
Article

腾讯* 在基于英特尔® 至强® 处理器的游戏内购买推荐系统中使用机器学习

To enhance the online gaming user experience, Tencent uses an in-game purchase recommendation system employing the machine learning method to help users decide what equipment they would want to buy within their games. Tencent machine learning engine uses DGEMM6 extensively in its module to compute the coefficients for the logistic regression machine learning algorithm.
Criado por Nguyen, Khang T (Intel) Última atualização em 12/12/2018 - 18:00
Article

自动矢量化失败后应该怎么办?

This article completes an analysis of a problem erroneously reported on the Intel® Developer Zone forum: Vectorization failed because of unsigned integer? It provides a more detailed examination showing that unsigned integer is not impacting compiler vectorization but what methodology to use when a modern C/C++ compiler fails to auto-vectorize for-loops.
Criado por Última atualização em 05/07/2019 - 14:46