This is the homepage for the POP online training course. The aim of this course is to give an overview of the POP performance analysis methodology and the POP analysis tools. These are the tools and techniques used by POP experts when doing performance analyses and proof-of-concept work.

Upon completing this course you will have an understanding of:

• The challenges involved in HPC performance analysis
• How the POP Metrics aid understanding of application performance
• How to calculate the POP Metrics for your own HPC applications
• What POP tools are available and how they can be installed
• How to capture and analyse performance data with the POP tools

POP Online Training Modules

	An Introduction to the POP Centre of Excellence Understanding Application Performance with the POP Metrics
	Installing POP Tools: Extrae, Paraver Using POP Tools: Extrae Using POP Tools: Paraver (Introduction, Timelines, Tables, Semantic Functions)
	Installing POP Tools: Score-P, Scalasca, Cube Using POP Tools: Score-P and Scalasca Using POP Tools: Cube Computing the POP Metrics with Score-P, Scalasca, Cube
	Computing the POP Metrics with PyPOP

Advanced POP Online Training Modules

Paraver: Identifying Structure Paraver: See the Noise Paraver: Life without Noise Paraver: On Sampling in Traces

Event Recordings

• 20th VI-HPS Tuning Workshop, 2016 (RIKEN AICS, Kobe, Japan)
  • Agenda and Slides
  • Video recordings
• 34th POP/VI-HPS Tuning Workshop, 2020 (EPCC, Scotland)
  • Agenda and Slides
  • Video recordings
• POP Performance Analysis Methodology Workshop, 2021 (Durham University, UK)
  • Video recording and Slides
• 46th POP/VI-HPS Tuning Workshop, 2024 (IT4I, Czechia)
  • Agenda and Slides
  • Video recordings