Speaker
Markus Geimer
Description
To effectively harness the computing capabilities of todays and future
supercomputing systems, performance analysis and optimization should
be a regular activity during scientific software development. Instead
of using do-it-yourself solutions usually based on coarse-grained
timers (e.g., time per timestep or solver iteration), developers of
scientific code bases can resort to a variety of spezialized tools
that have been specifically developed to assist them with this task.
In this part of the workshop, we will introduce the open-source tools
Score-P and Cube, and explore their usage and capabilities with a
number of hands-on exercises.
