Proceedings of the 2017 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems 2017
DOI: 10.1145/3078505.3078550
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Characterizing 3D Floating Gate NAND Flash

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Cited by 19 publications
(9 citation statements)
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“…This leads to the increased cell failure rates with the number of P/E cycles. The error rate is -4 9 10  when the P/E cycles are 500 at the beginning of flash. When the P/E cycle is increased to 5000, the cell error rate is -3 6.8 10  , improving 7.6 times.…”
Section: Algorithm Verification and Analysismentioning
confidence: 99%
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“…This leads to the increased cell failure rates with the number of P/E cycles. The error rate is -4 9 10  when the P/E cycles are 500 at the beginning of flash. When the P/E cycle is increased to 5000, the cell error rate is -3 6.8 10  , improving 7.6 times.…”
Section: Algorithm Verification and Analysismentioning
confidence: 99%
“…When programming the three pages of a one-word line, due to the coupling effect of parasitic capacitance [16], the program process has a disturb to the three pages of adjacent word lines that have been programmed. This makes the interfered three pages capture additional electrons, leading to threshold voltage drift [9] and easily resulting in bit errors, as shown in Figure 1. When the 3D-TLC NAND flash cell is affected by the program disturb, the window of threshold voltages transfers to the right and across the other windows, causing bit errors and thus affecting the reliability.…”
Section: Program Disturb Errormentioning
confidence: 99%
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“…Although the acceleration method of retention errors based on this theory is widely applied in both academia and industry, it is generally accepted that this method cannot accurately represent the retention characteristics of planar flash memory at room temperature [10,15,20]. Currently, retention error characterization methods still apply the same model and parameters that are obtained on planar flash to high-density 3D NAND flash memories [33][34][35]. In this work, we will show that this model works even worse on 3D NAND flash memory, via studying long-retention errors of 3D flash chips with temperature considerations based on real data.…”
Section: Flash Retention Accelerationmentioning
confidence: 99%