Applying  OpenMP techniques to Python code .

In this third and last article on OpenMP, we look at good OpenMP coding habits and present a short introduction to employing OpenMP with GPUs.

Diving deeper into OpenMP loop directives for parallel code.

The powerful OpenMP parallel do  directive creates parallel code for your loops.

With directive coding, you annotate code with compiler directives to take advantage of parallelism or accelerators. The two primary standards are OpenACC and OpenMP.

We talked with Michael Wong, OpenMP CEO, and Matthijs van Waveren, Marketing Coordinator, about the status of the upcoming OpenMP version 4.0 specification and some of its features and enhancements, as well as how to participate in its development.

As core counts increase in both CPUs and GPUs, the HPC lifestyle could become a bit more difficult.

Parallel programming is not easy, but one tool you can use to help parallelize your application is OpenMP. Most compilers are compatible with OpenMP and allow you to parallelize your code on a single node.