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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.
Authored by Last updated on 07/06/2019 - 16:40
Blog post

Big Datasets from Small Experiments

Authored by Andrey Vladimirov Last updated on 07/04/2019 - 18:46
Article

Enabling Intel® MKL in PETSc applications

 
Authored by Gennady F. (Blackbelt) Last updated on 05/24/2018 - 15:48
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
Authored by Andrey N. (Intel) Last updated on 08/27/2019 - 13:50