Blog post

Undefined behavior is closer than you think

Some people think that undefined behavior is caused only by gross errors (accessing outside the

Authored by Andrey Karpov Last updated on 05/21/2017 - 08:43

Counting People: Use OpenCV* for Edge Detection

Learn how to use OpenCV* to count people using edge detection rather than using server farms.
Authored by Foster, Whitney (Intel) Last updated on 05/20/2017 - 10:52

Generate Hashing Algorithms for Cloud Storage using Intel® ISA-L

Learn how to generate hashing algorithms fast using the Intel Intelligent Storage Acceleration Library (Intel ISA-L) Intel AES-NI, SSE, AVX, and AVX2. Download the code sample and get started.
Authored by Thai Le (Intel) Last updated on 05/19/2017 - 23:27

How to Install DevStack* on CentOS*

This article shows step-by-step how to install DevStack on CentOS* 7 for those who are new to OpenStack.
Authored by Nguyen, Khang T (Intel) Last updated on 05/19/2017 - 22:50

Upgrading an Existing Intel XDK Project to Version 3088 or Later

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Authored by Paul F. (Intel) Last updated on 05/19/2017 - 14:50

Use Intel SGX Templates for the GNU* Autoconf* Build System

Learn how to extend the functionality of GNU Autoconf to build software that makes use of Intel® SGX. Includes a download with templates and a sample application source tree.
Authored by John M. (Intel) Last updated on 05/18/2017 - 23:07

BigDL: Distributed Deep Learning on Apache Spark*

As the leading framework for Distributed ML, the addition of deep learning to the super-popular Spark framework is important, because it allows Spark developers to perform a wide range of data analysis tasks—including data wrangling, interactive queries, and stream processing—within a single framework. Three important features offered by BigDL are rich deep learning support, High Single Node Xeon...
Authored by Sergey E. (Intel) Last updated on 05/18/2017 - 14:52

Deploying BigDL on Microsoft’s Azure* Data Science Virtual Machine

Automated Installation of BigDL Using Deploy to Azure*
Authored by Sergey E. (Intel) Last updated on 05/17/2017 - 10:48

Intel® Math Kernal Library for Deep Learning Networks: Part 1–Overview and Installation

Learn how to install and build the library components of the Intel MKL for Deep Neural Networks.
Authored by Bryan B. (Intel) Last updated on 05/16/2017 - 10:06

Intel® Math Kernel Library for Deep Neural Networks: Part 2 – Code Build and Walkthrough

Learn how to configure the Eclipse* IDE to build the C++ code sample, along with a code walkthrough based on the AlexNet deep learning topology for AI applications.
Authored by Bryan B. (Intel) Last updated on 05/16/2017 - 10:00
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