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Intel® Platform Analysis Library Metrics Framework Release Notes

Click "Download Now" below to obtain and view Intel® Platform Analysis Library Metrics Framework release notes.

Authored by Last updated on 06/23/2019 - 18:50
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How to Start Intel® VTune™ Amplifier from Ubuntu* Launcher

Under Linux* many commands are executed from the command line, which is OK. But if the program you are starting has a mouse driven GUI in my view the command line doesn't really make sense.

Authored by Paul F. (Intel) Last updated on 06/07/2017 - 10:43
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Intel® PCM Column Names Decoder Ring

When Intel Performance Counter Monitor (Intel PCM) is generating csv files as output, short names are used

Authored by Thomas Willhalm (Intel) Last updated on 07/04/2019 - 19:37
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New optimizations for X86 in upcoming GCC 5.0

 

Authored by Evgeny Stupachenko (Intel) Last updated on 01/24/2018 - 12:12
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Null Pointer Dereferencing Causes Undefined Behavior

I have unintentionally raised a large debate recently concerning the question if it is legal in C/C++ to use the &P->m_foo expression with P being a null pointer.

Authored by Andrey Karpov (Blackbelt) Last updated on 05/30/2018 - 07:08
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Celebrating a Decade of Parallel Programming with Intel® Threading Building Blocks (Intel® TBB)

This year marks the tenth anniversary of Intel® Threading Building Blocks (Intel® TBB).

Authored by Sharmila C. (Intel) Last updated on 10/15/2019 - 18:16
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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 10/15/2019 - 19:43
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MeshCentral - Introduction & Overview

 
Authored by Ylian S. (Blackbelt) Last updated on 10/28/2019 - 16:20
Article

Using OpenCL™ 2.0 Read-Write Images

While Image convolution is not as effective with the new Read-Write images functionality, any image processing technique that needs be done in place may benefit from the Read-Write images. One example of a process that could be used effectively is image composition. In OpenCL 1.2 and earlier, images were qualified with the “__read_only” and __write_only” qualifiers. In the OpenCL 2.0, images can...
Authored by Last updated on 11/19/2019 - 14:05