With the impending demise of Moore’s Law, multiple cores are a common manufacturers’ workaround for improving hardware performance, whether or not your installed apps can use the parallel architecture.
And with each new release of Python, parallel programming gets even easier. But the degree to which your code can use your multiple cores will depend on the kind of problem you are trying to solve, on the implementation of Python you are running and, as it turns out, how truly parallel the underlying architecture of your system actually is.
The goal of this series of posts is to see how adaptable some of my existing code is to take advantage of multi-core hardware, to see what changes need be made to scale it, and to measure the performance improvements from the exercise. Continue reading “Parallel Python – 1: Prime Numbers”
Alas, dear Windows, it was not to be. I’m afraid I’ve been seeing other platforms. Specifically, I’ve been spending time with OS/X behind your back. It was just too painful to be with you. All those arguments, the shouting, the hair-pulling, the throwing things across the room.
