001 | 1003814 | ||
005 | 20250317202727.0 | ||
024 | 7 | _ | |a 10.1109/ProTools56701.2022.00007 |2 doi |
024 | 7 | _ | |a 2128/33953 |2 Handle |
024 | 7 | _ | |a WOS:000964532800001 |2 WOS |
037 | _ | _ | |a FZJ-2023-01264 |
100 | 1 | _ | |a Ritter, Marcus |0 P:(DE-HGF)0 |b 0 |
111 | 2 | _ | |a 2022 IEEE/ACM Workshop on Programming and Performance Visualization Tools (ProTools) |c Dallas |d 2022-11-13 - 2022-11-18 |w TX |
245 | _ | _ | |a Conquering Noise With Hardware Counters on HPC Systems |
260 | _ | _ | |c 2022 |b IEEE |
295 | 1 | 0 | |a 2022 IEEE/ACM Workshop on Programming and Performance Visualization Tools (ProTools) : [Proceedings] - IEEE, 2022. - ISBN 978-1-6654-7564-8 - doi:10.1109/ProTools56701.2022.00007 |
300 | _ | _ | |a 1-10 |
336 | 7 | _ | |a CONFERENCE_PAPER |2 ORCID |
336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
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336 | 7 | _ | |a Output Types/Conference Paper |2 DataCite |
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520 | _ | _ | |a With increasing system performance and complexity, it is becoming increasingly crucial to examine the scaling behavior of an application and thus determine performance bottlenecks at early stages. Unfortunately, modeling this trend is a challenging task in the presence of noise, as the measurements can become irreproducible and misleading, thus resulting in strong deviations from the actual behavior. While noise impacts the application runtime, it has little to no effect on some hardware counters like floating-point operations. However, selecting the appropriate counters for performance modeling demands some investigation. In this paper, we perform a noise analysis on various hardware counters. Using our noise generator, we add additional noise on top of the system noise to inspect the counters' variability. We perform the analysis on five systems with three applications in the presence of various noise patterns and categorize the counters across the systems according to their noise resilience. |
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536 | _ | _ | |a DFG project G:(GEPRIS)449683531 - ExtraNoise – Leistungsanalyse von HPC-Anwendungen in verrauschten Umgebungen (449683531) |0 G:(GEPRIS)449683531 |c 449683531 |x 1 |
536 | _ | _ | |a ATMLPP - ATML Parallel Performance (ATMLPP) |0 G:(DE-Juel-1)ATMLPP |c ATMLPP |x 2 |
588 | _ | _ | |a Dataset connected to CrossRef Conference |
700 | 1 | _ | |a Tarraf, Ahmad |0 P:(DE-HGF)0 |b 1 |e Corresponding author |
700 | 1 | _ | |a Geiß, Alexander |0 P:(DE-HGF)0 |b 2 |
700 | 1 | _ | |a Daoud, Nour |0 P:(DE-Juel1)188664 |b 3 |
700 | 1 | _ | |a Mohr, Bernd |0 P:(DE-Juel1)132199 |b 4 |e Corresponding author |
700 | 1 | _ | |a Wolf, Felix |0 P:(DE-HGF)0 |b 5 |
773 | _ | _ | |a 10.1109/ProTools56701.2022.00007 |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/1003814/files/HW_accepted.pdf |y OpenAccess |
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914 | 1 | _ | |y 2022 |
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