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Characteristics of Deep Learning Workloads in Industry, Academic Institutions and National Laboratories., , , и . ICDCN, стр. 318-323. ACM, (2023)The Implications of Shared Data Synchronization Techniques on Multi-Core Energy Efficiency., , , , и . HotPower, USENIX Association, (2012)Vorpal: Vector Clock Ordering For Large Persistent Memory Systems., , , и . PODC, стр. 435-444. ACM, (2019)HTM design spaces: complete decoupling from caches and achieving highly concurrent transactions., , , и . ACM SIGOPS Oper. Syst. Rev., 43 (2): 98-99 (2009)The Bitlet Model: Defining a Litmus Test for the Bitwise Processing-in-Memory Paradigm., , , и . CoRR, (2019)Characterization of User's Behavior Variations for Design of Replayable Mobile Workloads., , , , и . MobiCASE, том 162 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 51-70. Springer, (2015)The Bitlet Model: A Parameterized Analytical Model to Compare PIM and CPU Systems., , , , , , , и . ACM J. Emerg. Technol. Comput. Syst., 18 (2): 43:1-43:29 (2022)The Bitlet Model: A Parameterized Analytical Model to Compare PIM and CPU Systems., , , , , , , и . CoRR, (2021)Building Scalable Architectures Using Emerging Memory Technologies.. University of California, San Diego, USA, (2019)A Data-Centric Approach for Analyzing Large-Scale Deep Learning Applications., , , и . ICDCN, стр. 282-283. ACM, (2023)