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Adaptive memory-side last-level GPU caching., , , , , и . ISCA, стр. 411-423. ACM, (2019)A Case for Specialized Processors for Scale-Out Workloads., , , , , , , , , и . IEEE Micro, 34 (3): 31-42 (2014)Architectural Support for Probabilistic Branches., , и . MICRO, стр. 108-120. IEEE Computer Society, (2018)LA-LLC: Inter-Core Locality-Aware Last-Level Cache to Exploit Many-to-Many Traffic in GPGPUs., , , и . IEEE Comput. Archit. Lett., 16 (1): 42-45 (2017)Clearing the clouds: a study of emerging scale-out workloads on modern hardware., , , , , , , , , и . ASPLOS, стр. 37-48. ACM, (2012)Quantifying the Mismatch between Emerging Scale-Out Applications and Modern Processors., , , , , , , , , и . ACM Trans. Comput. Syst., 30 (4): 15:1-15:24 (2012)Precise Runahead Execution., , , и . HPCA, стр. 397-410. IEEE, (2020)MDM: The GPU Memory Divergence Model., , , и . MICRO, стр. 1009-1021. IEEE, (2020)Racing to Hardware-Validated Simulation., , , и . ISPASS, стр. 58-67. IEEE, (2019)Scale-out processors., , , , , , , , , и 1 other автор(ы). ISCA, стр. 500-511. IEEE Computer Society, (2012)