Live Webinar: Boost Python* Performance with Intel® Math Kernel Library

Python* is a popular open-source scripting language known for its easy-to-learn syntax and active developer community.
作者: Mike P. (Intel) 最后更新时间: 2017/06/07 - 10:28

OpenStack App Developer Survey

As part of a long-term commitment to enhance ease-of-use, the OpenStack UX project, with support of the OpenStack Foundation and the Technical Committee, is now bu

作者: Mike P. (Intel) 最后更新时间: 2017/06/07 - 12:14

BigDL – Scale-out Deep Learning on Apache Spark* Cluster

Learn how to install and use BigDL for training and testing some of the commonly used deep neural network models on Apache Spark.
作者: Sunny G. (Intel) 最后更新时间: 2019/03/11 - 13:17

Solve SVD problem for sparse matrix with Intel Math Kernel Library

    Introduction :

作者: Gennady F. (Blackbelt) 最后更新时间: 2019/03/05 - 23:20

Intel® Math Kernel Library - Introducing Vectorized Compact Routines

作者: Gennady F. (Blackbelt) 最后更新时间: 2019/07/04 - 21:35

Micro-Cluster Setup with Intel® MPI Library for Windows*

Demonstrate the steps involved in setting up the smallest Windows* cluster with Intel® MPI Library to users experimenting in their labs. We have seen some of our customers involved in such activity.
作者: Dr. Amarpal S Kapoor (Intel) 最后更新时间: 2018/09/12 - 16:40

Building Large-Scale Image Feature Extraction with BigDL at

This article shares the experience and lessons learned from Intel and JD teams in building a large-scale image feature extraction framework using deep learning on Apache Spark* and BigDL.
作者: Jason Dai (Intel) 最后更新时间: 2019/05/30 - 15:56

Enabling Intel® MKL in PETSc applications

作者: Gennady F. (Blackbelt) 最后更新时间: 2018/05/24 - 15:48

TensorFlow* Sample Codes for Distributed Image Classification

The TensorFlow* image classification sample codes below describe a step-by-step approach to modify the code in order to scale the deep learning training across multiple nodes of HPC data centers.

作者: Michael Steyer (Intel) 最后更新时间: 2019/03/11 - 13:17

Using the Intel® MPI Library in Google Cloud Platform*

In this article, we describe the process on how to download and install the Intel® MPI library in Google Cloud Platform* (GCP).

作者: Fabio B. (Intel) 最后更新时间: 2019/04/03 - 06:39