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Dynamically replicated memory: building reliable systems from nanoscale resistive memories.

, , , , and . ASPLOS, page 3-14. ACM, (2010)

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Enabling energy efficient Hybrid Memory Cube systems with erasure codes., , , and . ISLPED, page 67-72. IEEE, (2015)TCAM-SSD: A Framework for Search-Based Computing in Solid-State Drives., , , , , , and . CoRR, (2024)Memristive Accelerators for Dense and Sparse Linear Algebra: From Machine Learning to High-Performance Scientific Computing.. IEEE Micro, 39 (1): 58-61 (2019)AC-DIMM: associative computing with STT-MRAM., , , , and . ISCA, page 189-200. ACM, (2013)Reducing data movement energy via online data clustering and encoding., and . MICRO, page 32:1-32:13. IEEE Computer Society, (2016)Enabling Scientific Computing on Memristive Accelerators., , , , and . ISCA, page 367-382. IEEE Computer Society, (2018)Self-Optimizing Memory Controllers: A Reinforcement Learning Approach., , , and . ISCA, page 39-50. IEEE Computer Society, (2008)The Memristive Boltzmann Machines., and . IEEE Micro, 37 (3): 22-29 (2017)Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator., , , , , , , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 8 (1): 86-101 (2018)Better I/O through byte-addressable, persistent memory., , , , , , and . SOSP, page 133-146. ACM, (2009)