Article

Power Management Policy

By Taylor Kidd, Intel Corporation

This article is essentially a collection of blogs I wrote on the same subject. The differences are simply a degree of formalism.

Authored by Last updated on 07/06/2019 - 16:40
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
Blog post

Advanced Computer Concepts for the (Not So) Common Chef: The Multi-core Industrial Kitchen

This is going to be a short blog as there is no new material to discuss, just a simple extension of the earlier blogs (see

Authored by Last updated on 07/06/2019 - 17:10