1. Check prerequisites Each host and each Intel® Xeon Phi™ coprocessor should have a unique IP address across a cluster;
Building VASP* with Intel® MKL , Intel® Compilers and Intel® MPI
Step 1 – Overview
Why it is needed?
Are you working with a hybrid program that just isn't performing? Do you feel like your application is on life support?
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.
There are two principal methods of parallel computing: distributed memory computing and shared memory computing. As more processor cores are dedicated to large clusters solving scientific and engineering problems, hybrid programming techniques combining the best of distributed and shared memory programs are becoming more popular.
Learn how to write an MPI program in Python*, and take advantage of Intel® multicore architectures using OpenMP threads and Intel® AVX512 instructions.