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Towards shared memory consistency models for GPUs., , and . ICS, page 489-490. ACM, (2013)The perception of medical professionals and medical students on the usefulness of an emergency medical card and a continuity of care report in enhancing continuity of care., , , , , , , , , and 9 other author(s). Int. J. Medical Informatics, 80 (6): 412-420 (2011)LeftoverLocals: Listening to LLM Responses Through Leaked GPU Local Memory., and . CoRR, (2024)Inter-workgroup barrier synchronisation on graphics processing units.. Imperial College London, UK, (2018)British Library, EThOS.Cooperative kernels: GPU multitasking for blocking algorithms., , and . ESEC/SIGSOFT FSE, page 431-441. ACM, (2017)GPUHarbor: Testing GPU Memory Consistency at Large (Experience Paper)., , , , and . ISSTA, page 779-791. ACM, (2023)GPU Schedulers: How Fair Is Fair Enough?., , and . CONCUR, volume 118 of LIPIcs, page 23:1-23:17. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2018)One Size Doesn't Fit All: Quantifying Performance Portability of Graph Applications on GPUs., , and . IISWC, page 155-166. IEEE, (2019)Foundations of empirical memory consistency testing., , , and . Proc. ACM Program. Lang., 4 (OOPSLA): 226:1-226:29 (2020)Cooperative Kernels: GPU Multitasking for Blocking Algorithms (Extended Version)., , and . CoRR, (2017)