Annotation
The EU funded Performance Optimization and Productivity Centre of Excellence (POP) offers services in the area of performance analysis and performance optimization. Therefore, POP mainly uses performance analysis tools developed by POP partners, namely Extrae, Paraver, Dimemas, Score-P, Cube and Scalasca. These tools are used to generate uniform performance audits for parallel applications to provide a good overview of the applications execution.
The aim of this tutorial, especially during its first day, is to introduce participants to the performance analysis tools and the methodologies used to create POP performance audits. The second day will be devoted to large hands-on sessions where application developers, who bring their own code, will be doing a performance analysis with guidance of POP performance experts.
The tutorial is in some sense a follow-up event after the course Practical Parallel Performance Analysis on Salomon held at IT4Innovations on October 20-21, 2016.
During the tutorial, full board will be provided. The participants are also invited to a social and networking event in the evening of the first day (c.f. the Practicalities section below).
Level
Language
English
Tentative agenda
- Wednesday December 14, 2016: Presentations of POP methods and tools: This day's programme (presentations) is open for all registered participants
- Thursday December 15, 2016: Performance analysis with guidance of POP performance experts: Hands-on sessions for pre-selected application developers, who bring their own code
Acknowledgements
The course is supported by
- the PRACE-4IP project, funded by the EU’s Horizon 2020 research and innovation programme (2014-2020) under grant agreement 653838; it is part of the on-demands event programme of the PRACE-4IP project
- by the Ministry of Education, Youth and Sports from the programme Large Infrastructures for Research, Experimental Development and Innovations as part of the project „IT4Innovations National Supercomputing Center – LM2015070“.
- by the Performance Optimization and Productivity project, EU's Horizon 2020 Centre of Excellence grant agreement 676556