Parallel Performance Engineering using Score-P and Vampir
Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Invited
Contributors
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 language | English |
---|---|
Title of host publication | ICPE 2023 - Companion of the 2023 ACM/SPEC International Conference on Performance Engineering |
Publisher | Association for Computing Machinery (ACM), New York |
Pages | 121-125 |
Number of pages | 5 |
ISBN (electronic) | 9798400700729 |
Publication status | Published - 15 Apr 2023 |
Peer-reviewed | No |
External IDs
Scopus | 85158902329 |
---|---|
dblp | conf/wosp/WilliamsB23 |
Mendeley | 77ddbb81-d087-3116-8d64-be995e362a3d |
Keywords
ASJC Scopus subject areas
Keywords
- visualization, high performance computing, performance engineering, measurement