Conquering Noise With Hardware Counters on HPC Systems

Ritter, Marcus; Mohr, Bernd; Daoud, Nour; Wolf, Felix; Tarraf, Ahmad; Geiß, Alexander

doi:10.1109/ProTools56701.2022.00007

Contribution to a conference proceedings/Contribution to a book

FZJ-2023-01264

Conquering Noise With Hardware Counters on HPC Systems

Ritter, M. ; Tarraf, A. (Corresponding author) ; Geiß, A. ; Daoud, N.FZJ* ; Mohr, B. (Corresponding author)FZJ* ; Wolf, F.

2022
IEEE

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
2022 IEEE/ACM Workshop on Programming and Performance Visualization Tools (ProTools), Dallas, TX, 13 Nov 2022 - 18 Nov 2022 IEEE 1-10 (2022) [10.1109/ProTools56701.2022.00007]

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Please use a persistent id in citations: http://hdl.handle.net/2128/33953 doi:10.1109/ProTools56701.2022.00007

Abstract: 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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