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 10/15/2019 - 16:40
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 10/15/2019 - 15:30
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 10/15/2019 - 16:50
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

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

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
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 10/15/2019 - 16:50
Article

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
Article

Boosting Deep Learning Training & Inference Performance on Intel® Xeon® and Intel® Xeon Phi™ Processors

In this work we present how, without a single line of code change in the framework, we can further boost the performance for deep learning training by up to 2X and inference by up to 2.7X on top of the current software optimizations available from open source TensorFlow* and Caffe* on Intel® Xeon® processors.
Authored by Vikram S. (Intel) Last updated on 10/15/2019 - 15:30
Article

Power System Infrastructure Monitoring Using Deep Learning on Intel® Architecture

The work in this paper evaluates the performance of Intel® Xeon® processor powered machines for running deep learning on the GoogleNet* topology (Inception* v.
Authored by admin Last updated on 05/08/2018 - 09:20