Gast ::
| Hauptseite > Publikationsdatenbank > Parallel Performance Analysis > print |
| 001 | 1034058 | ||
| 005 | 20250314084122.0 | ||
| 024 | 7 | _ | |a 10.34734/FZJ-2024-06879 |2 datacite_doi |
| 037 | _ | _ | |a FZJ-2024-06879 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Geimer, Markus |0 P:(DE-Juel1)132112 |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a 3rd natESM Training Workshop |c Jülich |d 2024-11-05 - 2024-11-06 |w Germany |
| 245 | _ | _ | |a Parallel Performance Analysis |f 2024-11-05 - |
| 260 | _ | _ | |c 2024 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a Other |2 DataCite |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a LECTURE_SPEECH |2 ORCID |
| 336 | 7 | _ | |a Talk (non-conference) |b talk |m talk |0 PUB:(DE-HGF)31 |s 1736409940_10770 |2 PUB:(DE-HGF) |x Other |
| 336 | 7 | _ | |a Other |2 DINI |
| 500 | _ | _ | |a Tutorial slides |
| 520 | _ | _ | |a To effectively harness the computing capabilities of todays and future supercomputing systems, performance analysis and optimization should be a regular activity during scientific software development. Instead of using do-it-yourself solutions usually based on coarse-grained timers (e.g., time per timestep or solver iteration), developers of scientific code bases can resort to a variety of spezialized tools that have been specifically developed to assist them with this task. In this tutorial, we will introduce the open-source tools Score-P and Cube, and explore their usage and capabilities with a number of hands-on exercises. |
| 536 | _ | _ | |a 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511) |0 G:(DE-HGF)POF4-5112 |c POF4-511 |f POF IV |x 0 |
| 536 | _ | _ | |0 G:(DE-Juel-1)ATMLPP |a ATMLPP - ATML Parallel Performance (ATMLPP) |c ATMLPP |x 1 |
| 856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/1034058/files/00_PerformanceEngineering.pdf |
| 856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/1034058/files/01_ReferenceRun.pdf |
| 856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/1034058/files/02_Score-P_basic.pdf |
| 856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/1034058/files/03_Cube.pdf |
| 856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/1034058/files/04_Score-P_advanced.pdf |
| 856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/1034058/files/05_ICON_CaseStudy.pdf |
| 909 | C | O | |o oai:juser.fz-juelich.de:1034058 |p openaire |p open_access |p VDB |p driver |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)132112 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action |1 G:(DE-HGF)POF4-510 |0 G:(DE-HGF)POF4-511 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Enabling Computational- & Data-Intensive Science and Engineering |9 G:(DE-HGF)POF4-5112 |x 0 |
| 914 | 1 | _ | |y 2024 |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 980 | _ | _ | |a talk |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | 1 | _ | |a FullTexts |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|