TY  - CONF
AU  - Ritter, Marcus
AU  - Tarraf, Ahmad
AU  - Geiß, Alexander
AU  - Daoud, Nour
AU  - Mohr, Bernd
AU  - Wolf, Felix
TI  - Conquering Noise With Hardware Counters on HPC Systems
PB  - IEEE
M1  - FZJ-2023-01264
SP  - 1-10
PY  - 2022
AB  - 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.
T2  - 2022 IEEE/ACM Workshop on Programming and Performance Visualization Tools (ProTools)
CY  - 13 Nov 2022 - 18 Nov 2022, Dallas (TX)
Y2  - 13 Nov 2022 - 18 Nov 2022
M2  - Dallas, TX
LB  - PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
UR  - <Go to ISI:>//WOS:000964532800001
DO  - DOI:10.1109/ProTools56701.2022.00007
UR  - https://juser.fz-juelich.de/record/1003814
ER  -