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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.
Authored by Sunny G. (Intel) Last updated on 07/05/2019 - 19:13
Article

最大限度提升 CPU 上的 TensorFlow* 性能:推理工作负载的注意事项和建议

本文将介绍使用面向 TensorFlow 的英特尔® 优化* 进行 CPU 推理的性能注意事项
Authored by Nathan Greeneltch (Intel) Last updated on 08/09/2019 - 02:02
Article

面向英特尔® 架构优化的 Caffe*:使用现代代码技巧

This paper demonstrates a special version of Caffe* — a deep learning framework originally developed by the Berkeley Vision and Learning Center (BVLC) — that is optimized for Intel® architecture.
Authored by Last updated on 07/06/2019 - 16:40
Article

设计面向游戏的人工智能(第 4 部分)

The gaming industry has seen great strides in game complexity recently. Game developers are challenged to create increasingly compelling games. This series explores important Artificial Intelligence (AI) concepts and how to optimize them for multi-core.
Authored by admin Last updated on 01/24/2018 - 15:35
Article

基于英特尔® AI DevCloud 的英特尔® Optimization for TensorFlow* 中的英特尔® 至强® 可扩展处理器架构和优化概述

使用基于英特尔® AI DevCloud 的英特尔® Optimization for TensorFlow 介绍英特尔® 至强® 可扩展处理器的架构和优化
Authored by Srivatsa S. Last updated on 06/28/2018 - 13:58
Article

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
Article

方案:基于英特尔® 至强融核™ 处理器 x 200 的面向深度学习优化的 Caffe*

The computer learning code Caffe* has been optimized for Intel® Xeon Phi™ processors. This article provides detailed instructions on how to compile and run this Caffe* optimized for Intel® architecture to obtain the best performance on Intel Xeon Phi processors.
Authored by Vamsi Sripathi (Intel) Last updated on 03/11/2019 - 13:17
Blog post

英特尔 Kaggle 竞赛技术参考

简介

2017 年3 月15日,英特尔携手 MobileODT*(MobileODT* 公司致力于向全球每位女性普及宫颈癌筛选)在 Kaggle.com 网站推出人工智能竞赛。Kaggle 是知名的数据相关竞赛的领先平台,通过该平台,公司可以发布建模问题,专业人士、开发人员和研究人员以竞赛的形式提供最佳解决方案。

Authored by Wei D. (Intel) Last updated on 01/24/2018 - 15:35
Article

现代英特尔® 架构上的 TensorFlow* 优化

本文向人工智能 (AI) 社区介绍了在基于英特尔® 至强和英特尔® 至强融核™ 处理器的平台上实施的 TensorFlow* 优化。
Authored by Elmoustapha O. (Intel) Last updated on 05/08/2018 - 09:18
Article

使用 Neon™ 框架对无人机视频进行物体检测

摘要
Authored by Last updated on 08/06/2018 - 19:43