In this video from EuroPython 2019, Pierre Glaser from INRIA presents: Parallel computing in Python: Current state and recent advances. Modern hardware is multi-core. It is crucial for Python to ...

Modern software takes computational speed for granted. But modern microprocessors can only speed up by increasing the number of cores. To take full advantage of multiple cores, software developers ...

Intel's James Reinders presents some recurring themes for developers looking to improve their game when it comes to programming parallel systems... I'm James Reinders and, as I've travelled around ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Getting programmers prepared for building applications ...

I wanted to expose my kids to programming because it’s a great skill and a powerful way of thinking. And my kids spend enough time playing Angry Birds and Cut the Rope on my iPhone that I figure they ...

From your smartphone to your laptop, today’s tech devices glean their computing power from multi-core processors. Supercomputers contain thousands of cores, and within three to four years a computer ...

Dr. Guy Blelloch of Carnegie Mellon University has written an article for the folks at CilkArts analyzing why parallel programming seems to be more difficult than sequential programming. He quickly ...

I’m James Reinders and as I've travelled around talking to programmers about parallel programming I’ve come up with a set of rules of thumb; recurring themes about what makes programmers more ...