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.
Autor Última actualización 06/07/2019 - 16:40
Mensajes en el blog

Big Datasets from Small Experiments

Autor Andrey Vladimirov Última actualización 04/07/2019 - 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.
Autor Neil V. (Intel) Última actualización 06/07/2019 - 16:30
Article

Enabling Intel® MKL in PETSc applications

 
Autor Gennady F. (Blackbelt) Última actualización 24/05/2018 - 15:48
Mensajes en el blog

AI DevCamp:Chicago

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

Autor Karl Fezer (Intel) Última actualización 14/08/2018 - 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
Autor Andrey N. (Intel) Última actualización 27/08/2019 - 13:50