Memory management for operating systems and runtimes

Autor: Lescouet, Alexis

Publikováno v: Distributed, Parallel, and Cluster Computing [cs.DC]. Institut Polytechnique de Paris, 2021. English. ⟨NNT : 2021IPPAS008⟩

During the last decade, the need for computational power has increased due to the emergence and fast evolution of fields such as data analysis or artificial intelligence. This tendency is also reinforced by the growing number of services and end-user

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::81e7e0e6a7dbeced29da942cf41df1d1
https://tel.archives-ouvertes.fr/tel-03358288/document

Identifying thread interference with performance variation

Autor: Mosli Bouksiaa, Mohamed Saïd, Trahay, François, Lescouet, Alexis, Voron, Gauthier, Guermouche, Amina, Brunet, Elisabeth, Thomas, Gaël

Publikováno v: [Research Report] Dept. Informatique (Institut Mines-Télécom-Télécom SudParis); Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (Institut Mines-Télécom-Télécom SudParis-CNRS); Laboratoire Informatique Paris VI (Université Pierre et Marie Curie-Paris VI). 2017, pp.14

Understanding the performance of a multi-threaded appli- cation is difficult. The threads interfere when they access the same hardware resource, which slows down their execution. Unfortunately, current profiling tools are unable to identify the most

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c15fa408e0e10cccde6772502664f3e5
https://hal.archives-ouvertes.fr/hal-01784556