Creating Python modules with Fortran OpenMP code makes all available cores accessible to Python functions.

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

Introduction of the new OpenMP specification abstracts away many of the thorny issues associated with today’s HPC hardware.

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.

OpenMP brings the power of multiprocessing to your C, C++, and Fortran programs.

Examine and optimize your server’s internal topology with this hardware locality tool suite.