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Intel and Facebook* Collaborate to Boost Caffe*2 Performance on Intel CPU’s

Автор: Andres Rodriguez (Intel) Последнее обновление: 01.04.2019 - 11:10
Блоги

英特尔和 Facebook* 共同协作,在英特尔 CPU 上提高 Caffe2 的性能

                           

Автор: Andres Rodriguez (Intel) Последнее обновление: 08.05.2018 - 09:38
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.
Автор: Flavio Luis de Mello Последнее обновление: 24.01.2018 - 15:35
Блоги

Track Reconstruction with Deep Learning at the CERN CMS Experiment

Connecting the Dots
Автор: Последнее обновление: 12.12.2018 - 18:00
Article

Execution Analysis of Training a Deep Neural Network Task

High-performance computing (HPC) can be defined as the use of a set of techniques that enable the maximum performance of a processing platform.

Автор: админ Последнее обновление: 12.12.2018 - 18:00
Article

Stanford HPC Center Summer Speaker Series: Introduction to High Performance Computing Tools

Автор: Mike P. (Intel) Последнее обновление: 30.09.2019 - 17:28
File Wrapper

Parallel Universe Magazine - Issue 27, January 2017

Автор: админ Последнее обновление: 01.10.2019 - 16:55
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.
Автор: Последнее обновление: 15.10.2019 - 15:30
Article

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.
Автор: Sunny G. (Intel) Последнее обновление: 15.10.2019 - 16:40
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.
Автор: Sunny G. (Intel) Последнее обновление: 15.10.2019 - 16:40