Programming languages are evolving to bring the software closer to hardware. As hardware architectures become more parallel (with the advent of multicore processors and FPGAs, for example), sequential ...

One size does not fit all, and it never will. Parallel programming looks to level the playing field by leveraging multicore hardware. It was easy to program applications in the days when one chip, one ...

As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, mastering asynchronous and parallel programming has become essential for every serious ...

Modern personal computing devices feature multiple cores. This is not only true for desktops, laptops, tablets and smartphones, but also for small embedded devices like the Raspberry Pi. In order to ...

Parallel programming exploits the capabilities of multicore systems by dividing computational tasks into concurrently executed subtasks. This approach is fundamental to maximising performance and ...

Hi, I’m James Reinders, and today we’re going to talk about threading building blocks. In fact, this is part one of a look at threading building blocks, which is an interesting template library for ...

In this video, Michael Wolfe from PGI continues his series of tutorials on parallel programming. “The second in a series of short videos to introduce you to parallel programming with OpenACC and the ...

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel processing ...

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 ...