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Migrating Applications from Knights Corner to Knights Landing Self-Boot Platforms

While there are many different programming models for the Intel® Xeon Phi™ coprocessor (code-named Knights Corner (KNC)), this paper lists the more prevalent KNC programming models and further discusses some of the necessary changes to port and optimize KNC models for the Intel® Xeon Phi™ processor x200 self-boot platform.
Authored by Michael Greenfield (Intel) Last updated on 07/06/2019 - 16:40
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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
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Using Intel® MPI Library on Intel® Xeon Phi™ Product Family

This document is designed to help users get started writing code and running MPI applications using the Intel® MPI Library on a development platform that includes the Intel® Xeon Phi™ processor.
Authored by Nguyen, Loc Q (Intel) Last updated on 03/21/2019 - 12:00
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Track Reconstruction with Deep Learning at the CERN CMS Experiment

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Disaster Relief using Satellite Imagery and Machine Learning

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Mode collapse in GANs

Hello everyone! 

Authored by Last updated on 12/12/2018 - 18:00
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Track Reconstruction with Deep Learning at the CERN CMS Experiment

This blog post is part of a series that describes my summer school project at CERN openlab.

Authored by Last updated on 03/21/2019 - 12:00
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Deep learning for fast simulation: Introduction

Hello everyone!

Authored by Last updated on 12/12/2018 - 18:00
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DeepMask Installation and Annotation Format for Satellite Imagery Project (2)

When we look at satellite images of refugee camps, we can easily distinguish between shelters and other different objects.

Authored by Last updated on 12/12/2018 - 18:00