Learning the basic MPI syntax and writing small example programs can be relatively straightforward, but many questions only arise when you first tackle a large-scale parallel application. Typical topics include how best to avoid deadlock, overlapping communication and calculation, understanding performance, debugging strategies or parallel IO.

Rather than covering advanced MPI functions, it will focus on the practicalities of using MPI effectively for large-scale parallel scientific applications. It will also cover the most common mistakes and misconceptions that occur in MPI programs.

The event is open to all University of Manchester researchers and is free to attend. For more information and to register for the course please visit the event website.