Unified CPU–GPU Memory Performance Across Edge, Consumer, and Datacenter Platforms: Three Case StudiesM DashtiElectronics 15 (19), 4524, 2026
A No-Degradation Framework for Augmenting Operating-System Randomness with Publicly Observable Dynamic Data SourcesM DashtiCryptography, 2026
Towards understanding and mitigating memory-access challenges in computing systemsMK DashtiUniversity of British Columbia, 2022
A case study of Processing-in-Memory in off-the-Shelf systemsJ Nider, C Mustard, A Zoltan, J Ramsden, L Liu, J Grossbard, M Dashti, ...2021 USENIX Annual Technical Conference (USENIX ATC 21), 117-130, 2021
Trash Talk: Accelerating Garbage Collection on Integrated GPUs is WorthlessM Dashti, A FedorovaarXiv preprint arXiv:2012.06281, 2020
Analyzing memory management methods on integrated CPU-GPU systemsM Dashti, A FedorovaACM SIGPLAN International Symposium on Memory Management, 59-69, 2017
Challenges of memory management on modern NUMA systemsF Gaud, B Lepers, J Funston, M Dashti, A Fedorova, V Quéma, ...Communications of the ACM 58 (12), 59-66, 2015
Traffic management: a holistic approach to memory placement on NUMA systemsM Dashti, A Fedorova, J Funston, F Gaud, R Lachaize, B Lepers, ...ACM SIGPLAN Notices 48 (4), 381-394, 2013
Implementation of resource contention management in the linux kernel for multicore numa systemsMK DashtiSimon Fraser University, 2012
A case for NUMA-aware contention management on multicore systemsS Blagodurov, S Zhuravlev, M Dashti, A FedorovaUSENIX Annual Technical Conference, 2011
Confirming connectivity in interworked broadcast and mobile networksP Pangalos, JMDLT Velver, M Dashti, A Dashti, H AghvamiIEEE network 21 (2), 13-20, 2007