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Intel® IPP - Library dependencies by domain

IPP demain dependencies.
Authored by admin Last updated on 07/31/2019 - 14:30
Article

Building OpenCV* 3.0-based embedded application using Intel® System Studio 2015

We describe how to use Intel® System Studio 2015 to build the OpenCV* 3.0-based embedded application on Intel platforms. In this paper, we have considered a sample code that is part of OpenCV, how to use different components of Intel® System Studio to build OpenCV sample code.
Authored by Last updated on 12/13/2018 - 14:10
Article
Article

Enhancing In-Vehicle-Infotainment Application Reliability and Performance using Intel® System Studio

Intel based solution is available to reduce the time and cost of developing in-vehicle technologies by providing application-ready solutions consisting of compute modules, automotive middleware and development kits. Intel® System Studio can be used in various stages of In-Vehicle-Infotainment development right from debugging BIOS in hardware layer to performance tuning of HMI layer.
Authored by Last updated on 06/23/2019 - 18:50
Blog post

Introduction to OpenMP* on YouTube*

Tim Mattson (Intel) has authored an extensive series of excellent videos as in introduction to OpenMP*.

Authored by Mike P. (Intel) Last updated on 07/04/2019 - 19:51
Blog post

Improving MPI Communication between the Intel® Xeon® Host and Intel® Xeon Phi™

MPI Symmetric Mode is widely used in systems equipped with Intel® Xeon Phi™ coprocessors.

Authored by Nguyen, Loc Q (Intel) Last updated on 07/06/2019 - 17:10
Article

Intel® System Studio 2016 Beta Installation Guide and Release Notes

Intel® System Studio 2016 Beta Update 1 - Linux* Host

Authored by sukruth-v (Intel) Last updated on 12/15/2017 - 15:28
Blog post

The Last Line Effect

Authored by Andrey Karpov (Blackbelt) Last updated on 05/30/2018 - 07:00
Blog post

Core Challenge In Speeding Up Python, PHP, HHVM, Node.js...

A traditional compiler translates a high-level computer program into machine code for the CPU you want to run it on. An interpreted language translates a high-level language into the machine code for some imaginary CPU. For historical reasons, this imaginary CPU is called a "virtual machine" and its instructions are called "byte code." One advantage of this approach is development speed: creating...
Authored by David S. (Blackbelt) Last updated on 07/04/2019 - 20:00
Blog post

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...
Authored by David S. (Blackbelt) Last updated on 07/04/2019 - 20:00