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Big Datasets from Small Experiments

Автор: Andrey Vladimirov Последнее обновление: 04.07.2019 - 18:46
Article

Enabling Intel® MKL in PETSc applications

 
Автор: Gennady F. (Blackbelt) Последнее обновление: 24.05.2018 - 15:48
Блоги

AI DevCamp:Chicago

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

Автор: Karl Fezer (Intel) Последнее обновление: 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
Автор: Andrey N. (Intel) Последнее обновление: 27.08.2019 - 13:50
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.
Автор: Последнее обновление: 15.10.2019 - 15:30
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.
Автор: Neil V. (Intel) Последнее обновление: 15.10.2019 - 15:30