Parallel Performance Engineering using Score-P and Vampir
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Beitragende
Abstract
This tutorial will introduce participants to the Score-P measurement system and the Vampir trace visualization tool for performance analysis. We will provide examples and hands-on exercises covering the full performance engineering workflow cycle on applications that include MPI, OpenMP, and GPU parallelism. Users will learn the following concepts: 1. How to collect an initial profile of their code with Score-P. 2. Evaluation of that profile and its associated measurement overhead. 3. The concepts of scoring and filtering a profile and measurement respectively. 4. How to control the Score-P measurement system via environment variables. 5. How to collect useful traces with acceptable overhead. 6. How to understand trace visualization in Vampir.
Details
Originalsprache | Englisch |
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Titel | ICPE 2023 - Companion of the 2023 ACM/SPEC International Conference on Performance Engineering |
Herausgeber (Verlag) | Association for Computing Machinery (ACM), New York |
Seiten | 121-125 |
Seitenumfang | 5 |
ISBN (elektronisch) | 9798400700729 |
Publikationsstatus | Veröffentlicht - 15 Apr. 2023 |
Peer-Review-Status | Nein |
Externe IDs
Scopus | 85158902329 |
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dblp | conf/wosp/WilliamsB23 |
Mendeley | 77ddbb81-d087-3116-8d64-be995e362a3d |
Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- visualization, high performance computing, performance engineering, measurement