Article

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
Article

Intel® Math Kernel Library for Deep Neural Networks: Part 2 – Code Build and Walkthrough

Learn how to configure the Eclipse* IDE to build the C++ code sample, along with a code walkthrough based on the AlexNet deep learning topology for AI applications.
作者: Bryan B. (Intel) 最后更新时间: 2018/05/23 - 11:00
博客

Big Datasets from Small Experiments

作者: Andrey Vladimirov 最后更新时间: 2019/07/04 - 18:46
Article

Enabling Intel® MKL in PETSc applications

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

Am I Becoming Obsolete?

It has occurred to me that with all the new technology advances over the last five years that my programming skill set may be becoming obsolete.

作者: Clay B. (Blackbelt) 最后更新时间: 2018/12/12 - 18:00
Article

Intel® Data Analytics Acceleration Library (Intel® DAAL): how to add user-defined algorithm

The article discusses the ways for enabling a new analytical algorithm in Intel® DAAL
作者: Andrey N. (Intel) 最后更新时间: 2019/08/27 - 13:50
Article

A Tutorial on the C++ API of Intel® Data Analytics Acceleration Library

Intel® DAAL is a part of Intel® Parallel Studio XE 2016, a developer toolkit for HPC and technical computing applications. Intel® DAAL is a powerful library for big data developers that turns large data clusters into meaningful information with advanced analytics algorithms. In this tutorial, we will see how to build and run Intel® DAAL C++ examples included in the package.
作者: Zhang, Zhang (Intel) 最后更新时间: 2019/08/27 - 13:50
Article

CPUs are set to dominate high end visualization

作者: James R. (Blackbelt) 最后更新时间: 2019/09/30 - 17:28
Article

Free access to Intel® Compilers, Performance libraries, Analysis tools and more...

Intel® Parallel Studio XE is a very popular product from Intel that includes the Intel® Compilers, Intel® Performance Libraries, tools for analysis, debugging and tuning, tools for MPI and the Intel® MPI Library. Did you know that some of these are available for free? Here is a guide to “what is available free” from the Intel Parallel Studio XE suites.
作者: 管理 最后更新时间: 2019/09/30 - 17:28
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.
作者: 最后更新时间: 2019/10/15 - 15:30