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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.
Автор: Последнее обновление: 06.07.2019 - 16:40
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Pipeline and the Efficient Chef (Part 1)

Advanced computer concepts for the (not so) common Chef

Автор: Последнее обновление: 04.07.2019 - 19:14
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Big Datasets from Small Experiments

Автор: Andrey Vladimirov Последнее обновление: 04.07.2019 - 18:46
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Brain Development Simulation, 300x Faster

Автор: Andrey Vladimirov Последнее обновление: 04.07.2019 - 17:45
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Cells in the Cloud: Scaling a Biological Simulator to the Cloud

Hello, fellow developers! I am Konstantinos, and I currently work at CERN as a research intern for this summer.

Автор: Konstantinos Kanellis Последнее обновление: 12.12.2018 - 18:00
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: 06.07.2019 - 16:30
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Top Ten Intel Software Developer Stories December

This month we introduce our newest VR newsletter deVR Beat; link to the keynotes from the Intel® HPC Developer Conference,meet the winners of the Intel® Modern Code Challenge and more.
Автор: Carman, Vicky (Intel) Последнее обновление: 05.02.2019 - 10:48