Parallel Performance Engineering using Score-P and Vampir

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionInvited

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

Original languageEnglish
Title of host publicationICPE 2023 - Companion of the 2023 ACM/SPEC International Conference on Performance Engineering
PublisherAssociation for Computing Machinery (ACM), New York
Pages121-125
Number of pages5
ISBN (electronic)9798400700729
Publication statusPublished - 15 Apr 2023
Peer-reviewedNo

External IDs

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

Keywords

Keywords

  • visualization, high performance computing, performance engineering, measurement