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Intel® System Studio Training Materials - Archive

Here is the link to the latest Intel System Studio 2015 Training Slides.

Criado por Noah Clemons (Blackbelt) Última atualização em 07/08/2019 - 19:42
Article

Intel® Platform Analysis Library Metrics Framework Release Notes

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

Criado por Última atualização em 23/06/2019 - 18:50
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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

Criado por Thomas Willhalm (Intel) Última atualização em 04/07/2019 - 19:37
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New optimizations for X86 in upcoming GCC 5.0

 

Criado por Evgeny Stupachenko (Intel) Última atualização em 24/01/2018 - 12:12
Article

Intel® System Studio Developer Story : With Intel® JTAG debugger and MinnowBoard MAX, how to debug exception errors in the Android-Linux-Kernel.

 

Inte® System Studio Developer Story : With XDB and MinnowBoard MAX , how to debug exception errors in the Android-Linux-Kernel.

Criado por JONG IL P. (Intel) Última atualização em 10/07/2018 - 08:00
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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.

Criado por Andrey Karpov (Blackbelt) Última atualização em 30/05/2018 - 07:08
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The Last Line Effect

Criado por Andrey Karpov (Blackbelt) Última atualização em 30/05/2018 - 07:00
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...
Criado por Última atualização em 31/05/2019 - 14:20
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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...
Criado por David S. (Blackbelt) Última atualização em 04/07/2019 - 20:00
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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...
Criado por David S. (Blackbelt) Última atualização em 04/07/2019 - 20:00