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Access-aware DRAM failure-rate estimation under relaxed refresh operations., , and . SAMOS, page 292-299. IEEE, (2017)Concurrent GCs and Modern Java Workloads: A Cache Perspective., , , , and . ISMM, page 71-84. ACM, (2023)Characterization of HPC workloads on an ARMv8 based server under relaxed DRAM refresh and thermal stress., , , and . SAMOS, page 230-235. ACM, (2018)Measuring and Exploiting Guardbands of Server-Grade ARMv8 CPU Cores and DRAMs., , , , , , , , , and 2 other author(s). DSN Workshops, page 6-9. IEEE Computer Society, (2018)DARE., , , , , and . Int. J. High Perform. Comput. Appl., 32 (1): 74-88 (2018)Revealing DRAM Operating GuardBands Through Workload-Aware Error Predictive Modeling., , , , and . IEEE Trans. Computers, 70 (11): 1976-1987 (2021)Workload-Aware DRAM Error Prediction using Machine Learning., , , , and . IISWC, page 106-118. IEEE, (2019)Dependency-Aware Rollback and Checkpoint-Restart for Distributed Task-Based Runtimes., , , , , , and . CoRR, (2017)HaRMony: Heterogeneous-Reliability Memory and QoS-Aware Energy Management on Virtualized Servers., , , and . ASPLOS, page 575-590. ACM, (2020)ASPLOS 2020 was canceled because of COVID-19..DRAM Characterization under Relaxed Refresh Period Considering System Level Effects within a Commodity Server., , , and . IOLTS, page 236-239. IEEE, (2018)