Thursday 7 June 2018 14:00hrs BST / 15:00hrs CEST
Parallel application performance issues change with scale and often necessitate large-scale execution measurements for their investigation. Performance measurement and analysis becomes increasingly challenging as the numbers of processes and threads get very large, as the sizes of both profiles and event traces tend to grow proportionally. It is therefore recommended to start from modest scale and then make execution configurations successively larger. Examples will be presented of using the Scalasca toolset that was specifically developed for scalable performance analysis of large-scale parallel applications.
In this 30-minute live webinar we will cover:
- Understanding the challenges of large-scale application executions
- Understanding the associated performance measurement and analysis issues
- Best practice use of the Scalasca toolset
- How it is used with some large-scale application executions
About the Presenter
Brian Wylie has been a scientific researcher in Juelich Supercomputing Centre of Forschungszentrum Juelich since 2004, in the group developing the Scalasca toolset for scalable performance analysis of large-scale parallel applications. He contributes to the EU Centre of Excellence for Performance Optimisation and Productivity (POP), and management of the High-Q Club of highest scaling codes on the JUQUEEN BlueGene/Q and associated workshops. He also coordinates training activities of the Virtual Institute -- High Productivity Supercomputing (VI-HPS), organising bespoke hands-on training workshops at leading HPC centres as well as tutorials at international conferences.