TY  - CONF
AU  - Geimer, Markus
TI  - Parallel Performance Analysis
M1  - FZJ-2024-06879
PY  - 2024
N1  - Tutorial slides
AB  - 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 tutorial, we will introduce the open-source tools Score-P and Cube, and explore their usage and capabilities with a number of hands-on exercises.
T2  - 3rd natESM Training Workshop
CY  - 5 Nov 2024 - 6 Nov 2024, Jülich (Germany)
Y2  - 5 Nov 2024 - 6 Nov 2024
M2  - Jülich, Germany
LB  - PUB:(DE-HGF)31
DO  - DOI:10.34734/FZJ-2024-06879
UR  - https://juser.fz-juelich.de/record/1034058
ER  -