What you will learn
- How to make measurements with Score-P and Scalasca to be able to compute the POP metrics
- How to compute and view POP metrics with Cube
Prerequisites
- Access to HPC cluster or Linux workstation/laptop
- Development software
- Compiler suite (C, C++, Fortran): GCC, Intel, IBM XL, PGI, …
- MPI library: OpenMPI, MPICH, Intel, …
- Access to the source code of the application to analyze
- POP tools Score-P, Scalasca, and Cube installed
Training module
Material
- Presentation slides
- Jacobi example used in POP preset measurement demo
- TeaLeaf POP measurement used in Cube Advisor demo
- TeaLeaf source code
Score-P
- Support: support@score-p.org
Scalasca, Cube
- Support: scalasca@fz-juelich.de