Filters

Blog post

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).
Authored by David S. (Blackbelt) Last updated on 07/04/2019 - 19:43
Blog post

Exposing Processor Features to Dynamic Languages

Intel® for its part invests countless hours and billions of transistors to add features in our silicon products which will speed up people's lives. If only they knew how to take advantage of it! Part of our job in dynamic languages is what I call "putting the cookies on the bottom shelf". Make this advanced technology easily consumable, and show you the value of it so you can be sure to use it.
Authored by David S. (Blackbelt) Last updated on 07/04/2019 - 19:43
Blog post

The 0-Day Challenge: What is the Pulse of the Internet?

The core components of the Internet get updated constantly. Every time the source changes, the health and performance can change. A single source code change can fail to build, can break compatibility with existing code and can change the performance anywhere from a fraction of a percent up to 10% or more on major customer workloads. We're trying to read the pulse of our core components (Python,...
Authored by David S. (Blackbelt) Last updated on 07/04/2019 - 19:42
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

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...
Authored by David S. (Blackbelt) Last updated on 07/03/2019 - 20:08
Blog post

Python accelerated (using Intel® MKL)

Python can be accelerated by having the numerical libraries, NumPy and SciPy, use the Intel® Math Kernel Library (Intel® MKL).  This requires no change to your Python application, and instantly opt

Authored by James R. (Blackbelt) Last updated on 03/21/2019 - 12:08
Blog post

Unleash the Parallel Performance of Python* Programs

[updated 10/5/2018]

Authored by Anton Malakhov (Intel) Last updated on 10/05/2018 - 18:24
Blog post

Playing an Infinite Game of Monopoly with Python

What is the worst part about playing a board game with a Python? You might think it was getting the snake to roll the dice since he doesn't have hands. Not even close. (The second worst problem for me was not using the phrase "Monopoly Python's Flying Circus" in the title.)
Authored by Clay B. (Blackbelt) Last updated on 06/14/2017 - 16:05
Blog post

Doubling the Performance of OpenStack Swift with No Code Changes

My current gig is mostly about performance. I manage a group of software engineers dedicated to the languages becoming really important to the cloud and the datacenter.

Authored by David S. (Blackbelt) Last updated on 07/06/2019 - 17:10