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Digital Security and Surveillance on 4th generation Intel® Core™ processors Using Intel® System Studio 2015

This article presents the advantages of developing embedded digital video surveillance systems to run on 4th generation Intel® Core™ processor with Intel® HD Graphics, in combination with the Intel® System Studio 2015 software development suite. While Intel® HD Graphics is useful for developing many types of computer vision functionalities in video management software; Intel® System Studio...
Автор: Последнее обновление: 23.06.2019 - 18:50
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The Right Mindset for Testing (Testing Theory Part 1)

Автор: Engblom, Jakob (Intel) Последнее обновление: 13.07.2018 - 14:32
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The Right Toolset for Testing (Testing Theory Part 2)

Автор: Engblom, Jakob (Intel) Последнее обновление: 04.07.2019 - 18:48
Article

MeshCentral - Introduction & Overview

 
Автор: Ylian S. (Blackbelt) Последнее обновление: 08.10.2019 - 18:20
Article

Thread Parallelism in Cython*

Cython* is a superset of Python* that additionally supports C functions and C types on variable and class attributes. Cython generates C extension modules, which can be used by the main Python program using the import statement.
Автор: Nguyen, Loc Q (Intel) Последнее обновление: 15.10.2019 - 16:40
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High Performance PHP 7

On October 21, 2015, I was invited to give a technical talk at ZendCon, the largest gathering of the PHP community. A lot of excitement this year surrounds the release of PHP 7 which represents a massive performance improvement over previous versions. Here are a few notes from my talk. The promise was to offer a way for attendees of the talk to get even more performance out of PHP 7. We show you...
Автор: David S. (Blackbelt) Последнее обновление: 15.10.2019 - 18:01
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Using Clear Linux* for Teaching Virtual Platforms

For Simics® traini

Автор: Engblom, Jakob (Intel) Последнее обновление: 15.10.2019 - 18:19
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The JITter Conundrum - Just in Time for Your Traffic Jam

In interpreted languages, it just takes longer to get stuff done - I earlier gave the example where the Python source code a = b + c would result in a BINARY_ADD byte code which takes 78 machine instructions to do the add, but it's a single native ADD instruction if run in compiled language like C or C++. How can we speed this up? Or as the performance expert would say, how do I decrease...
Автор: David S. (Blackbelt) Последнее обновление: 15.10.2019 - 19:42