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New optimizations for X86 in upcoming GCC 5.0

 

Автор: Evgeny Stupachenko (Intel) Последнее обновление: 24.01.2018 - 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.

Автор: Andrey Karpov (Blackbelt) Последнее обновление: 30.05.2018 - 07:08
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Supporting a New SoM Baseboard with MRAA's JSON Platform API

Intel has been developing SoM (SoC on module or System on module) for a while and with the Intel® Joule™ module and Intel® Edison module you can easily create your own daughterboard/baseboard easil

Автор: Последнее обновление: 23.06.2019 - 22:00
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Developer API Documentation for Intel® Performance Counter Monitor

 

Автор: Roman Dementiev (Intel) Последнее обновление: 08.10.2019 - 18:20
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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
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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...
Автор: David S. (Blackbelt) Последнее обновление: 15.10.2019 - 19:43
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The Last Line Effect

Автор: Andrey Karpov (Blackbelt) Последнее обновление: 20.11.2019 - 08:19