Parallel Performance Analysis using Scalasca/Score-P on the ARCHER2 AMD GPUs

29 Apr 2024, 09:30 → 30 Apr 2024, 17:00 UTC

Scalasca/Score-P is a portable, free and open-source software toolset that supports the performance optimisation of parallel programs by measuring and analysing their runtime behaviour.  The analysis identifies potential performance bottlenecks – in particular those concerning communication and synchronisation – and offers guidance in exploring their causes.  Scalasca uses execution profiles and traces generated by the community-developed Score-P instrumentation and measurement infrastructure.

Scalasca/Score-P targets scientific and engineering applications based on the programming interfaces MPI and OpenMP/OpenACC, including hybrid applications combining both with kernel offload to GPU accelerators. The tool has been specifically designed for use on large-scale systems, but is also well suited for small and medium-scale HPC platforms.  The software is available for free download under the New BSD open-source license.

This in-person course will cover how to use the tools in practice, delivered by members of the development team.  Scalasca/Score-P is portable across HPC systems, but for this course practical exercises will be conducted on the GPU-enabled partition of the UK National HPC Service ARCHER2 (an HPE/Cray EX system); all attendees will be given accounts on ARCHER2 for the duration of the course.  Although example parallel programs will be provided, attendees are encouraged to analyse the performance of their own applications.  

More info: https://www.archer2.ac.uk/training/courses/240429-scalasca-gpu/