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| 001 | 281767 | ||
| 005 | 20250314084114.0 | ||
| 024 | 7 | _ | |a 10.1145/2751205.2751216 |2 doi |
| 024 | 7 | _ | |a WOS:000493996800018 |2 WOS |
| 037 | _ | _ | |a FZJ-2016-01449 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Shudler, Sergei |0 P:(DE-HGF)0 |b 0 |
| 111 | 2 | _ | |a 29th International Conference on Supercomputing |g ICS'15 |c Newport Beach |d 06/08/2015 - 06/11/2015 |w California |
| 245 | _ | _ | |a Exascaling Your Library |
| 260 | _ | _ | |a New York, New York, USA |c 2015 |b ACM Press |
| 295 | 1 | 0 | |a Proceedings of the 29th ACM on International Conference on Supercomputing - ICS '15 - 2015. - ISBN 9781450335591 |
| 300 | _ | _ | |a 165-175 |
| 336 | 7 | _ | |a Contribution to a conference proceedings |b contrib |m contrib |0 PUB:(DE-HGF)8 |s 1454572096_31896 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a CONFERENCE_PAPER |2 ORCID |
| 336 | 7 | _ | |a Output Types/Conference Paper |2 DataCite |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 520 | _ | _ | |a Many libraries in the HPC field encapsulate sophisticated algorithms with clear theoretical scalability expectations. However, hardware constraints or programming bugs may sometimes render these expectations inaccurate or even plainly wrong. While algorithm engineers have already been advocating the systematic combination of analytical performance models with practical measurements for a very long time, we go one step further and show how this comparison can become part of automated testing procedures. The most important applications of our method include initial validation, regression testing, and benchmarking to compare implementation and platform alternatives. Advancing the concept of performance assertions, we verify asymptotic scaling trends rather than precise analytical expressions, relieving the developer from the burden of having to specify and maintain very fine grained and potentially non-portable expectations. In this way, scalability validation can be continuously applied throughout the whole development cycle with very little effort. Using MPI as an example, we show how our method can help uncover non-obvious limitations of both libraries and underlying platforms. |
| 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 | _ | _ | |0 G:(DE-Juel-1)ATMLPP |a ATMLPP - ATML Parallel Performance (ATMLPP) |c ATMLPP |x 1 |
| 588 | _ | _ | |a Dataset connected to CrossRef Conference |
| 700 | 1 | _ | |a Calotoiu, Alexandru |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Hoefler, Torsten |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Strube, Alexandre |0 P:(DE-Juel1)140202 |b 3 |u fzj |
| 700 | 1 | _ | |a Wolf, Felix |0 P:(DE-HGF)0 |b 4 |
| 773 | _ | _ | |a 10.1145/2751205.2751216 |
| 909 | C | O | |o oai:juser.fz-juelich.de:281767 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)140202 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |1 G:(DE-HGF)POF3-510 |0 G:(DE-HGF)POF3-511 |2 G:(DE-HGF)POF3-500 |v Computational Science and Mathematical Methods |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |l Supercomputing & Big Data |
| 914 | 1 | _ | |y 2015 |
| 915 | _ | _ | |a No Authors Fulltext |0 StatID:(DE-HGF)0550 |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 UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
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