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OpenMP* WORKSHARE 现在可与英特尔® Fortran 编译器 15.0 并行

英特尔® Fortran 编译器 15.0 现可为包含阵列分配的 OpenMP WORKSHARE 和 PARALLEL WORKSHARE 结构的指定实例生成多线程代码。  很显然,它们是使用 OpenMP SINGLE 结构进行部署,这表示仅可生成单线程代码。

 

Authored by Kenneth Craft (Intel) Last updated on 07/03/2019 - 20:00
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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.
Authored by Mike P. (Intel) Last updated on 03/21/2019 - 12:00
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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
Authored by Nguyen, Loc Q (Intel) Last updated on 03/21/2019 - 12:00
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本文将介绍一些技巧,帮助软件开发人员识别并修复使用最新英特尔软件开发工具时遇到的与 NUMA 相关的应用性能问题。

Authored by Sunny G. (Intel) Last updated on 07/05/2019 - 20:13
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针对英特尔® 至强™ 处理器 E5 系列的 Caffe* 评分优化

为了不断优化英特尔® 架构的深度学习工作负载,我们的工程师探索不同的路径,以达到最高性能。

Authored by Gennady F. (Blackbelt) Last updated on 03/21/2019 - 12:28
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案例研究: 面向神经细胞模拟优化代码

Intel held the Intel® Modern Code Developer Challenge that had about 2,000 students from 130 universities in 19 countries registered to participate in the Challenge. They were provided access to Intel® Xeon Phi™ coprocessors to optimize code used in a CERN openlab brain simulation research project. In this article Daniel Vea Falguera (Modern Code Developer Challenge winner) shares how he...
Authored by Last updated on 07/06/2019 - 16:40
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使用 Neon™ 框架对无人机视频进行物体检测

摘要
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使用 TensorFlow* 对象检测 API 实施交通灯检测

本案例研究评估了 TensorFlow* 对象检测 API 处理一个实时任务的能力,即在基于英特尔® 至强® 处理器的机器上进行交通灯检测。
Authored by admin Last updated on 08/13/2018 - 23:08
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在英特尔® 至强® 和英特尔® 至强融核™ 处理器上提升深度学习训练和推理性能

如何使用 TensorFlow* 和 Caffe* 在英特尔® 至强® 处理器上提升深度学习训练和推理性能。
Authored by Vikram S. (Intel) Last updated on 04/30/2019 - 01:47