This title appears in the Scientific Report :
2022
Please use the identifier:
http://hdl.handle.net/2128/33139 in citations.
Practical Hybrid Parallel Performance Engineering
Practical Hybrid Parallel Performance Engineering
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on the community-developed Score-P instrumentation and measurement infrastructure, demonstrating how they can be used for performance engineering of effective scientific applications based on standard MPI,...
Saved in:
Personal Name(s): | Geimer, Markus (Corresponding author) |
---|---|
Shende, Sameer / Williams, William | |
Contributing Institute: |
Jülich Supercomputing Center; JSC |
Imprint: |
2022
|
Conference: | ISC High-Performance '22, Hamburg (Germany), 2022-05-29 - |
Document Type: |
Lecture |
Research Program: |
Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups |
Link: |
OpenAccess |
Publikationsportal JuSER |
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on the community-developed Score-P instrumentation and measurement infrastructure, demonstrating how they can be used for performance engineering of effective scientific applications based on standard MPI, OpenMP, hybrid combination of both, and increasingly common usage of accelerators. Parallel performance tools from the Virtual Institute - High Productivity Supercomputing (VI-HPS) are introduced and featured in live demonstrations with Score-P, Scalasca, Vampir, and TAU. We present the complete workflow of performance engineering, including instrumentation, measurement (profiling and tracing, timing and PAPI hardware counters), data storage, analysis, tuning, and visualization. Emphasis is placed on how tools are used in combination for identifying performance problems and investigating optimization alternatives. This will help to prepare participants to locate and diagnose performance bottlenecks in their own parallel programs. |