Advanced MPI
ARCHER, the UK's national supercomputing service, offers training in software development and high-performance computing to scientists and researchers across the UK. As part of our training service we will be running a 2-day Advanced MPI training session.
Trainer
David Henty
David teaches on a wide range of EPCC's technical training courses, including MPI and OpenMP, and is overall course organiser for EPCC's MSc in High Performance Computing.
Details
This course is aimed at programmers seeking to deepen their understanding of MPI and explore some of its more recent and advanced features. We cover topics including communicator management, non-blocking and neighbourhood collectives, single-sided MPI and the new MPI memory model. We also look at performance aspects such as which MPI routines to use for scalability, overlapping communication and calculation and MPI internal implementation issues.
Intended learning outcomes
- Understanding of how internal MPI implementation details affect performance
- Familiarity with neighbourhood collective operations in MPI
- Knowledge of MPI memory models for RMA operations
- Familiarity with MPI RMA operations and single-sided communication
- Understanding of best practice for MPI+OpenMP programming
Pre-requisites
Attendees should be familiar with MPI programming in C, C++ or Fortran, e.g. have attended the ARCHER MPI course.
Pre-course setup
All attendees should bring their own wireless-enabled laptop set up with the required software. Practical exercises will be done using a guest account on ARCHER.
Timetable
All sessions will include hands-on practical exercises in addition to lectures material.
Day 1: 27th January
09:30 - 10:00 Registration
10:00 - 10:30 MPI Quiz
10:30 - 11:00 MPI Internals
11:00 - 11:30 Coffee
11:30 - 13:00 Point-to-point Performance
13:00 - 14:00 Lunch
14:00 - 15:30 MPI Optimisations
15:30 - 16:00 Coffee
16:00 - 17:00 Advanced Collectives
17:00 CLOSE
Day 2: 28th January
10:00 - 11:00 MPI + OpenMP (i)
11:00 - 11:30 Coffee
11:30 - 13:00 MPI + OpenMP (ii)
13:00 - 14:00 Lunch
14:00 - 15:30 New MPI shared-memory model
15:30 - 16:00 Coffee
16:00 - 17:00 Finish Exercises
17:00 CLOSE
Course Materials
Slides and exercise material for this course.
