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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.
作者: Sunny G. (Intel) 最后更新时间: 2019/07/05 - 19:10
Article

Case Study: Many-Fermion Dynamics using Intel® Xeon Phi™ Processors

Many-Fermion Dynamics---nuclear, or MFDn, is a configuration interaction (CI) code for nuclear structure calculations.

作者: Mike P. (Intel) 最后更新时间: 2019/06/14 - 11:50
Article

Case Study: BerkeleyGW using Intel® Xeon Phi™ Processors

BerkeleyGW is a Materials Science application for calculating the excited state properties of materials such as band gaps, band structures, absoprtion spectroscopy, photoemission spectroscopy and m

作者: Mike P. (Intel) 最后更新时间: 2019/06/14 - 11:50
Article

Hybrid Parallelism: A MiniFE* Case Study

This case study examines the situation where the problem decomposition is the same for threading as it is for Message Passing Interface* (MPI); that is, the threading parallelism is elevated to the same level as MPI parallelism.
作者: David M. 最后更新时间: 2019/07/06 - 16:40
博客
博客

SHEPHERD: Just when I thought I was out... they pull me back in

Don't get me wrong, I was a quite willing participant with all of this. 

作者: 最后更新时间: 2018/07/10 - 08:08
博客

Why Intel® CoFluent™ Technology for Big Data

Intel CoFluent Studio is a product from Intel that lets you build models of pretty much any system to evaluate performance and behavior using an abstract model instead of concrete code.
作者: Engblom, Jakob (Intel) 最后更新时间: 2018/04/17 - 15:58
博客

The Schiaparelli Lesson – Unusual and Faulty Conditions

作者: Engblom, Jakob (Intel) 最后更新时间: 2018/04/17 - 15:58
Article

Unattended Baggage Detection Using Deep Neural Networks in Intel® Architecture

In a world becoming ever more attuned to potential security threats, the need to deploy sophisticated surveillance systems is increasing. This article discusses inferencing a Microsoft Common Objects in Context (MS-COCO) detection model for detecting unattended baggage in a train station.
作者: 管理 最后更新时间: 2018/05/08 - 09:38
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.
作者: 管理 最后更新时间: 2018/05/08 - 09:20