Using differential execution analysis to identify thread interference
Published in IEEE Transactions on Parallel and Distributed Systems, VOL. 30, NO. 12, December 2019, 2019
In this paper, we propose a holistic metric able to pinpoint the blocks of code that suffer interference the most, regardless of the interference cause. Our metric uses performance variation as a universal indicator of interference problems.
Recommended citation: Mohamed Said Mosli Bouksiaa, François Trahay, Alexis Lescouet, Gauthier Voron, Remi Dulong, et al.. Using differential execution analysis to identify thread interference. IEEE Transactions on Parallel and Distributed Systems, Institute of Electrical and Electronics Engineers, 2019, 30 (12), pp.2866-2878. ⟨10.1109/TPDS.2019.2927481⟩. ⟨hal-02179717⟩ https://hal.archives-ouvertes.fr/hal-02179717/document