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| 001 | 1033653 | ||
| 005 | 20250314084122.0 | ||
| 024 | 7 | _ | |a 10.34734/FZJ-2024-06525 |2 datacite_doi |
| 037 | _ | _ | |a FZJ-2024-06525 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Haus, Katharina |0 P:(DE-Juel1)190218 |b 0 |e Corresponding author |u fzj |
| 245 | _ | _ | |a Extending a Performance Analysis Tool to Handle MPI Message Probing |f 2024-06-17 - 2024-08-13 |
| 260 | _ | _ | |c 2024 |
| 300 | _ | _ | |a 61 p. |
| 336 | 7 | _ | |a bachelorThesis |2 DRIVER |
| 336 | 7 | _ | |a Thesis |0 2 |2 EndNote |
| 336 | 7 | _ | |a Output Types/Supervised Student Publication |2 DataCite |
| 336 | 7 | _ | |a Bachelor Thesis |b bachelor |m bachelor |0 PUB:(DE-HGF)2 |s 1736166779_29200 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a MASTERSTHESIS |2 BibTeX |
| 336 | 7 | _ | |a SUPERVISED_STUDENT_PUBLICATION |2 ORCID |
| 502 | _ | _ | |a Bachelorarbeit, FH Aachen - University of Applied Sciences, 2024 |c FH Aachen - University of Applied Sciences |b Bachelorarbeit |d 2024 |o 2024-08-20 |
| 520 | _ | _ | |a In the realm of high-performance computing (HPC), exascale systems have now reached a point of practical reality and offer unprecedented computing power. As these systems become more powerful, it is crucial to ensure that users can effectively harness this power. It is essential to consider scalability and performance optimization when developing applications running on such systems to be able to fully leverage their capabilities. Performance analysis is a fundamental aspect of optimizing parallel applications. This thesis addresses a specific gap in the Scalasca performance analysis tool: MPI message probing. Message probing is useful to determine the required buffer size for a pending message. This work presents an extended event model that captures probe calls and integrates them into Scalasca’s analysis framework. The enhanced tool is evaluated across various test cases, demonstrating its capability to identify inefficiencies related to MPI message probing, especially the Late Sender wait state. The results show that the extended analysis provides a more comprehensive insight into application behavior. |
| 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 | _ | |u https://juser.fz-juelich.de/record/1033653/files/bachelorarbeit-hausKatharina.pdf |y OpenAccess |
| 909 | C | O | |o oai:juser.fz-juelich.de:1033653 |p openaire |p open_access |p VDB |p driver |p dnbdelivery |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)190218 |
| 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 bachelor |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | 1 | _ | |a FullTexts |
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