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Improving 3D NAND Flash Memory Lifetime by Tolerating Early Retention Loss and Process Variation.

, , , , and . POMACS, 2 (3): 37:1-37:48 (2018)

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WARM: Improving NAND flash memory lifetime with write-hotness aware retention management., , , , and . MSST, page 1-14. IEEE Computer Society, (2015)Architectural Techniques for Improving NAND Flash Memory Reliability.. CoRR, (2018)Designing for Responsiveness with Computational Sprinting., , , , , , and . IEEE Micro, 33 (3): 8-15 (2013)Computational sprinting., , , , , , and . HPCA, page 249-260. IEEE Computer Society, (2012)Data retention in MLC NAND flash memory: Characterization, optimization, and recovery., , , , and . HPCA, page 551-563. IEEE Computer Society, (2015)Experimental Characterization, Optimization, and Recovery of Data Retention Errors in MLC NAND Flash Memory., , , , , and . CoRR, (2018)Improving 3D NAND Flash Memory Lifetime by Tolerating Early Retention Loss and Process Variation., , , , and . SIGMETRICS (Abstracts), page 106. ACM, (2018)Read Disturb Errors in MLC NAND Flash Memory: Characterization, Mitigation, and Recovery., , , and . DSN, page 438-449. IEEE Computer Society, (2015)Bitmap approach to trend clustering for prediction in time series databases., , and . Data Mining and Knowledge Discovery: Theory, Tools, and Technology, volume 4384 of SPIE Proceedings, page 302-312. SPIE, (2001)Geometric Operator Convolutional Neural Network., , and . CoRR, (2018)