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: 2019/07/06 - 16:40
博客

Big Datasets from Small Experiments

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

Vector API Developer Program for Java* Software

This article introduces Vector API to Java* developers. It shows how to start using the API in Java programs, and provides examples of vector algorithms. It provides step-by-step details on how to build the Vector API and build Java applications using it. It provides the location for downloadable binaries for Project Panama binaries.
作者: Neil V. (Intel) 最后更新时间: 2019/07/06 - 16:30
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

AI DevCamp:Chicago

I write this as an observer of something I had yet to witness.

作者: Karl Fezer (Intel) 最后更新时间: 2018/08/14 - 16:20
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