guest ::
| Home > Publications database > Score-P and OMPT: Navigating the Perils of Callback-Driven Parallel Runtime Introspection > print |
| Home > Publications database > Score-P and OMPT: Navigating the Perils of Callback-Driven Parallel Runtime Introspection > print |
| 001 | 865954 | ||
| 005 | 20250314084118.0 | ||
| 020 | _ | _ | |a 978-3-030-28595-1 (print) |
| 020 | _ | _ | |a 978-3-030-28596-8 (electronic) |
| 024 | 7 | _ | |a 10.1007/978-3-030-28596-8_2 |2 doi |
| 024 | 7 | _ | |a 0302-9743 |2 ISSN |
| 024 | 7 | _ | |a 1611-3349 |2 ISSN |
| 024 | 7 | _ | |a 2128/23232 |2 Handle |
| 024 | 7 | _ | |a WOS:000655479100002 |2 WOS |
| 037 | _ | _ | |a FZJ-2019-05220 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Feld, Christian |0 P:(DE-Juel1)132244 |b 0 |e Corresponding author |
| 111 | 2 | _ | |a 15th International Workshop on OpenMP |g IWOMP 2019 |c Auckland |d 2019-09-11 - 2019-09-13 |w New Zealand |
| 245 | _ | _ | |a Score-P and OMPT: Navigating the Perils of Callback-Driven Parallel Runtime Introspection |
| 260 | _ | _ | |a Cham |c 2019 |b Springer International Publishing |
| 295 | 1 | 0 | |a OpenMP: Conquering the Full Hardware Spectrum / Fan, Xing (Editor) ; Cham : Springer International Publishing, 2019, Chapter 2 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-030-28595-1=978-3-030-28596-8 |
| 300 | _ | _ | |a 21 - 35 |
| 336 | 7 | _ | |a CONFERENCE_PAPER |2 ORCID |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Conference Paper |2 DataCite |
| 336 | 7 | _ | |a Contribution to a conference proceedings |b contrib |m contrib |0 PUB:(DE-HGF)8 |s 1662443426_12760 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a Contribution to a book |0 PUB:(DE-HGF)7 |2 PUB:(DE-HGF) |m contb |
| 490 | 0 | _ | |a Lecture Notes in Computer Science |v 11718 |
| 520 | _ | _ | |a Event-based performance analysis aims at modeling the behavior of parallel applications through a series of state transitions during execution. Different approaches to obtain such transition points for OpenMP programs include source-level instrumentation (e.g., OPARI) and callback-driven runtime support (e.g., OMPT).In this paper, we revisit a previous evaluation and comparison of OPARI and an LLVM OMPT implementation—now updated to the OpenMP 5.0 specification—in the context of Score-P. We describe the challenges faced while trying to use OMPT as a drop-in replacement for the existing instrumentation-based approach and the changes in event order that could not be avoided. Furthermore, we provide details on Score-P measurements using OPARI and OMPT as event sources with the EPCC and SPEC OpenMP benchmark suites. |
| 536 | _ | _ | |a 511 - Computational Science and Mathematical Methods (POF3-511) |0 G:(DE-HGF)POF3-511 |c POF3-511 |f POF III |x 0 |
| 536 | _ | _ | |a Scalable Performance Analysis of Large-Scale Parallel Applications (jzam11_20191101) |0 G:(DE-Juel1)jzam11_20191101 |c jzam11_20191101 |f Scalable Performance Analysis of Large-Scale Parallel Applications |x 1 |
| 536 | _ | _ | |0 G:(DE-Juel-1)ATMLPP |a ATMLPP - ATML Parallel Performance (ATMLPP) |c ATMLPP |x 2 |
| 588 | _ | _ | |a Dataset connected to CrossRef Book Series |
| 700 | 1 | _ | |a Convent, Simon |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Hermanns, Marc-André |0 P:(DE-Juel1)168253 |b 2 |
| 700 | 1 | _ | |a Protze, Joachim |0 0000-0003-0640-8966 |b 3 |
| 700 | 1 | _ | |a Geimer, Markus |0 P:(DE-Juel1)132112 |b 4 |
| 700 | 1 | _ | |a Mohr, Bernd |0 P:(DE-Juel1)132199 |b 5 |
| 773 | _ | _ | |a 10.1007/978-3-030-28596-8_2 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/865954/files/p09_feld.pdf |y OpenAccess |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/865954/files/p09_feld.pdf?subformat=pdfa |x pdfa |y OpenAccess |
| 909 | C | O | |o oai:juser.fz-juelich.de:865954 |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)132244 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)168253 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 4 |6 P:(DE-Juel1)132112 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 5 |6 P:(DE-Juel1)132199 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Supercomputing & Big Data |1 G:(DE-HGF)POF3-510 |0 G:(DE-HGF)POF3-511 |3 G:(DE-HGF)POF3 |2 G:(DE-HGF)POF3-500 |4 G:(DE-HGF)POF |v Computational Science and Mathematical Methods |x 0 |
| 914 | 1 | _ | |y 2019 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 980 | _ | _ | |a contrib |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a contb |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | 1 | _ | |a FullTexts |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|