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001003814 0247_ $$2doi$$a10.1109/ProTools56701.2022.00007
001003814 0247_ $$2Handle$$a2128/33953
001003814 0247_ $$2WOS$$aWOS:000964532800001
001003814 037__ $$aFZJ-2023-01264
001003814 1001_ $$0P:(DE-HGF)0$$aRitter, Marcus$$b0
001003814 1112_ $$a2022 IEEE/ACM Workshop on Programming and Performance Visualization Tools (ProTools)$$cDallas$$d2022-11-13 - 2022-11-18$$wTX
001003814 245__ $$aConquering Noise With Hardware Counters on HPC Systems
001003814 260__ $$bIEEE$$c2022
001003814 29510 $$a2022 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
001003814 300__ $$a1-10
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001003814 520__ $$aWith 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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001003814 536__ $$0G:(GEPRIS)449683531$$aDFG project G:(GEPRIS)449683531 - ExtraNoise – Leistungsanalyse von HPC-Anwendungen in verrauschten Umgebungen (449683531)$$c449683531$$x1
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001003814 588__ $$aDataset connected to CrossRef Conference
001003814 7001_ $$0P:(DE-HGF)0$$aTarraf, Ahmad$$b1$$eCorresponding author
001003814 7001_ $$0P:(DE-HGF)0$$aGeiß, Alexander$$b2
001003814 7001_ $$0P:(DE-Juel1)188664$$aDaoud, Nour$$b3
001003814 7001_ $$0P:(DE-Juel1)132199$$aMohr, Bernd$$b4$$eCorresponding author
001003814 7001_ $$0P:(DE-HGF)0$$aWolf, Felix$$b5
001003814 773__ $$a10.1109/ProTools56701.2022.00007
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001003814 9141_ $$y2022
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