A guide for getting started combining MPI and OpenMP in one program. Code samples are included.
In the High Performance Computing (HPC) area, parallel computing techniques such as MPI, OpenMP*, one-sided communications, shmem, and Fortran coarray are widely utilized. This blog is part of a series that will introduce the use of these techniques, especially how to use them on the Intel® Xeon Phi™ coprocessor. This first blog discusses the main usage of the hybrid MPI/OpenMP model.
To run a hybrid MPI/OpenMP* program, follow these steps:
Tips and tricks on how to get the optimal performance settings for your mixed Intel MPI/OpenMP applications.
Two decades is a millennium in technology years.
Learn how to write an MPI program in Python*, and take advantage of Intel® multicore architectures using OpenMP threads and Intel® AVX512 instructions.
The Intel® MPI Library and OpenMP* runtime libraries can create affinities between processes or threads, and hardware resources. This affinity keeps an MPI process or OpenMP thread from migrating to a different hardware resource, which can have a dramatic effect on the execution speed of a program.