Gast ::
| Hauptseite > Publikationsdatenbank > 10,000 Performance Models per Minute – Scalability of the UG4 Simulation Framework > print |
| Hauptseite > Publikationsdatenbank > 10,000 Performance Models per Minute – Scalability of the UG4 Simulation Framework > print |
| 001 | 281765 | ||
| 005 | 20250314084114.0 | ||
| 020 | _ | _ | |a 978-3-662-48095-3 (print) |
| 020 | _ | _ | |a 978-3-662-48096-0 (electronic) |
| 024 | 7 | _ | |a 10.1007/978-3-662-48096-0_40 |2 doi |
| 024 | 7 | _ | |a 0302-9743 |2 ISSN |
| 024 | 7 | _ | |a 1611-3349 |2 ISSN |
| 024 | 7 | _ | |a WOS:000363786800040 |2 WOS |
| 037 | _ | _ | |a FZJ-2016-01447 |
| 082 | _ | _ | |a 004 |
| 100 | 1 | _ | |a Vogel, Andreas |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
| 111 | 2 | _ | |a 21st International Conference on Parallel and Distributed Computing |g Euro-Par 2015 |c Vienna |d 2015-08-24 - 2015-08-28 |w Austria |
| 245 | _ | _ | |a 10,000 Performance Models per Minute – Scalability of the UG4 Simulation Framework |
| 260 | _ | _ | |a Berlin, Heidelberg |c 2015 |b Springe |
| 295 | 1 | 0 | |a Euro-Par 2015: Parallel Processing / Träff, Jesper Larsson (Editor) ; 2015, Chapter 40 ; |
| 300 | _ | _ | |a 519 - 531 |
| 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 1662443584_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 9233 |
| 520 | _ | _ | |a Numerically addressing scientific questions such as simulating drug diffusion through the human stratum corneum is a challenging task requiring complex codes and plenty of computational resources. The UG4 framework is used for such simulations, and though empirical tests have shown good scalability so far, its sheer size precludes analytical modeling of the entire code. We have developed a process which combines the power of our automated performance modeling method and the workflow manager JUBE to create insightful models for entire UG4 simulations. Examining three typical use cases, we identified and resolved a previously unknown latent scalability bottleneck. In collaboration with the code developers, we validated the performance expectations in each of the use cases, creating over 10,000 models in less than a minute, a feat previously impossible without our automation techniques. |
| 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_20091101) |0 G:(DE-Juel1)jzam11_20091101 |c jzam11_20091101 |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 Calotoiu, Alexandru |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Strube, Alexandre |0 P:(DE-Juel1)140202 |b 2 |u fzj |
| 700 | 1 | _ | |a Reiter, Sebastian |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Nägel, Arne |0 P:(DE-HGF)0 |b 4 |
| 700 | 1 | _ | |a Wolf, Felix |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Wittum, Gabriel |0 P:(DE-HGF)0 |b 6 |
| 773 | _ | _ | |a 10.1007/978-3-662-48096-0_40 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/281765/files/chp%253A10.1007%252F978-3-662-48096-0_40.pdf |y Restricted |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/281765/files/chp%253A10.1007%252F978-3-662-48096-0_40.gif?subformat=icon |x icon |y Restricted |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/281765/files/chp%253A10.1007%252F978-3-662-48096-0_40.jpg?subformat=icon-1440 |x icon-1440 |y Restricted |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/281765/files/chp%253A10.1007%252F978-3-662-48096-0_40.jpg?subformat=icon-180 |x icon-180 |y Restricted |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/281765/files/chp%253A10.1007%252F978-3-662-48096-0_40.jpg?subformat=icon-640 |x icon-640 |y Restricted |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/281765/files/chp%253A10.1007%252F978-3-662-48096-0_40.pdf?subformat=pdfa |x pdfa |y Restricted |
| 909 | C | O | |p VDB |o oai:juser.fz-juelich.de:281765 |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)140202 |
| 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 2015 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |
| 915 | _ | _ | |a No Authors Fulltext |0 StatID:(DE-HGF)0550 |2 StatID |
| 915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |
| 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 |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|