Recipe: Building and running NEMO* on Intel® Xeon Phi™ Processors

The NEMO* (Nucleus for European Modelling of the Ocean) numerical solutions framework encompasses models of ocean, sea ice, tracers, and biochemistry equations and their related physics.This recipe shows the performance advantages of using the Intel® Xeon Phi™ processor 7250.
Criado por Dmitry K. (Intel) Última atualização em 27/03/2017 - 16:04
Página de destino responsiva

High Performance Computing (HPC) Webinars

Criado por administrar Última atualização em 27/03/2017 - 15:49
Forum topic

build with Scons


I am trying to build a C++ code, which includes daal.h, with using Scons. I use the following Sconstruct script to run:

env = Environment(

Criado por Farzaneh Taslimi Última atualização em 27/03/2017 - 15:36

Intel C and C++ Compilers: Features and Supported Platforms

Intel® C++ Compiler Features Supported in Different Products
Criado por Jennifer J. (Intel) Última atualização em 27/03/2017 - 15:20

Intel® XDK FAQs - General

Provides frequently asked questions (FAQs) related to developing apps with the Intel® XDK, such as how to get started as a new user, installing more than one version of Intel XDK, signing an app and updating or uninstalling Intel XDK. It also covers questions related to the built-in Brackets editor, differences between mobile platforms, specifying app settings, and other topics.
Criado por Anusha M. (Intel) Última atualização em 27/03/2017 - 14:38
Página de destino responsiva

Intel® Distribution for Python* | Overview

Criado por administrar Última atualização em 27/03/2017 - 14:16
Página de destino responsiva

Intel® Math Kernel Library (Intel® MKL)

Intel® Math Kernel Library (Intel® MKL) accelerates math processing routines that increase application performance and reduce development time.
Criado por Martin, Kay Última atualização em 27/03/2017 - 14:15

Introducing DNN primitives in Intel® Math Kernel Library

    Deep Neural Networks (DNNs) are on the cutting edge of the Machine Learning domain.

Criado por Vadim Pirogov (Intel) Última atualização em 27/03/2017 - 14:14

Training and Deploying Deep Learning Networks with Caffe* Optimized for Intel® Architecture

Caffe* is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC). Caffe optimized for Intel architecture is currently integrated with the latest release of Intel® Math Kernel Library (Intel® MKL) 2017 optimized for Advanced Vector Extensions (AVX)-2 and AVX-512 instructions which are supported in Intel® Xeon® and Intel® Xeon Phi™ processors (among others). This...
Criado por Andres R. (Intel) Última atualização em 27/03/2017 - 14:11

What is Intel® Optimized Caffe*

Caffe* is a deep learning framework that is useful for convolutional and fully connected networks, and recently recurrent neural networks were added.

Criado por Gerald M. (Intel) Última atualização em 27/03/2017 - 14:09
Para obter informações mais completas sobre otimizações do compilador, consulte nosso aviso de otimização.