Parallel Performance Engineering using Score-P and Vampir

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandEingeladen

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

OriginalspracheEnglisch
TitelICPE 2023 - Companion of the 2023 ACM/SPEC International Conference on Performance Engineering
Herausgeber (Verlag)Association for Computing Machinery (ACM), New York
Seiten121-125
Seitenumfang5
ISBN (elektronisch)9798400700729
PublikationsstatusVeröffentlicht - 15 Apr. 2023
Peer-Review-StatusNein

Externe IDs

Scopus 85158902329
dblp conf/wosp/WilliamsB23
Mendeley 77ddbb81-d087-3116-8d64-be995e362a3d

Schlagworte

Schlagwörter

  • visualization, high performance computing, performance engineering, measurement