Article

Scale-Up Implementation of a Transportation Network Using Ant Colony Optimization (ACO)

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 - 19:10
Article

Caffe* Optimized for Intel® Architecture: Applying Modern Code Techniques

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

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

Building and Probing Prolog* with Intel® Architecture

This article explores what happens when Intel solutions support functional and logic programming languages that are regularly used for Artificial Intelligence (AI) and proposes a Prolog interpreter recompilation using Intel® C++ Compiler and libraries in order to evaluate their contribution to logic based AI.
Authored by Flavio Luis de Mello Last updated on 01/24/2018 - 15:35
Article

Understanding NUMA using Intel® Optimization for Caffe*

Introduction
Authored by Sunny G. (Intel) Last updated on 05/08/2018 - 09:38
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
Article

Caffe* Scoring Optimization for Intel® Xeon® Processor E5 Series

    In continued efforts to optimize Deep Learning workloads on Intel® architecture, our engineers explore various paths leading to the maximum performance.

Authored by Gennady F. (Blackbelt) Last updated on 03/21/2019 - 12:28
Article

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