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PGO: Let It Go (PHP)

We can hope that companies like Intel® will come along with a faster processor. (And this does tend to happen every year). Or we can improve our compilers to produce better machine code. Or we can analyze our own code and change it to run more optimally. For PHP, we do all three: We partner with the processor architects to improve the way they execute PHP; we look for changes we can make to the...
Criado por David S. (Blackbelt) Última atualização em 03/07/2019 - 20:08
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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 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...
Criado por David S. (Blackbelt) Última atualização em 15/10/2019 - 19:43
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Dynamic Languages Take Over the Internet

The server world has really embraced Python in a big way. For example, the OpenStack project is a very popular Infrastructure as a Service offering, and most of it is written in Python. This makes Python a leader for Software Defined Infrastructure (SDI), Software Defined Storage (SDS) and Software Defined Networking (SDN).
Criado por David S. (Blackbelt) Última atualização em 15/10/2019 - 19:44